Isis 3 Programmer Reference
Isis::BundleResults Class Reference

A container class for statistical results from a BundleAdjust solution. More...

#include <BundleResults.h>

Inheritance diagram for Isis::BundleResults:
Inheritance graph
Collaboration diagram for Isis::BundleResults:
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Classes

class  XmlHandler
 This class is an XmlHandler used to read and write BundleResults objects from and to XML files. More...
 

Public Member Functions

 BundleResults (QObject *parent=0)
 Constructs a BundleResults object.
 
 BundleResults (Project *project, XmlStackedHandlerReader *xmlReader, QObject *parent=0)
 Construct this BundleResults object from XML.
 
 BundleResults (const BundleResults &src)
 Copy constructor for BundleResults.
 
 ~BundleResults ()
 Destroys this BundleResults object.
 
BundleResultsoperator= (const BundleResults &src)
 Assignment operator for BundleResults.
 
void initialize ()
 Initializes the BundleResults to a default state where all numeric members are set to 0 or another default value, all QString members are set to empty, all QVectors and QLists are cleared, and all other members are set to NULL.
 
void resizeSigmaStatisticsVectors (int numberImages)
 Resizes all image sigma vectors.
 
void setRmsImageResidualLists (QList< Statistics > rmsImageLineResiduals, QList< Statistics > rmsImageSampleResiduals, QList< Statistics > rmsImageResiduals)
 Sets the root mean square image residual Statistics lists.
 
void setRmsImageResidualLists (QVector< Statistics > rmsImageLineResiduals, QVector< Statistics > rmsImageSampleResiduals, QVector< Statistics > rmsImageResiduals)
 
void setRmsLidarImageResidualLists (QList< Statistics > rmsLidarImageLineResiduals, QList< Statistics > rmsLidarImageSampleResiduals, QList< Statistics > rmsLidarImageResiduals)
 Sets the root mean square lidar image residual Statistics lists.
 
void setSigmaCoord1Range (Distance minCoord1Dist, Distance maxCoord1Dist, QString minCoord1PointId, QString maxCoord1PointId)
 Sets the min and max sigma distances and point ids for coordinate 1.
 
void setSigmaCoord2Range (Distance minCoord2Dist, Distance maxCoord2Dist, QString minCoord2PointId, QString maxCoord2PointId)
 Sets the min and max sigma distances and point ids for coordinate 2.
 
void setSigmaCoord3Range (Distance minCoord3Dist, Distance maxCoord3Dist, QString minCoord3PointId, QString maxCoord3PointId)
 Sets the min and max sigma distances and point ids for coordinate 3.
 
void setRmsFromSigmaStatistics (double rmsFromSigmaCoord1Stats, double rmsFromSigmaCoord2Stats, double rmsFromSigmaCoord3Stats)
 Sets the root mean square values of the adjusted sigmas for all three coordinates.
 
void maximumLikelihoodSetUp (QList< QPair< MaximumLikelihoodWFunctions::Model, double > > modelsWithQuantiles)
 This method steps up the maximum likelihood estimation solution.
 
void printMaximumLikelihoodTierInformation ()
 Prints out information about which tier the solution is in and the status of the residuals.
 
void initializeResidualsProbabilityDistribution (unsigned int nodes=20)
 Initializes or resets the cumulative probability distribution of residuals used for reporting.
 
void initializeProbabilityDistribution (unsigned int nodes=20)
 Initializes or resets the cumulative probability distribution of |R^2 residuals|.
 
void addResidualsProbabilityDistributionObservation (double obsValue)
 Adds an observation to the cumulative probability distribution of residuals used for reporting.
 
void addProbabilityDistributionObservation (double obsValue)
 Adds an observation to the cumulative probability distribution of |R^2 residuals|.
 
void addProbabilityDistributionObservation (double obsValue, bool residuals)
 
void incrementMaximumLikelihoodModelIndex ()
 Increases the value that indicates which stage the maximum likelihood adjustment is currently on.
 
void incrementFixedPoints ()
 Increase the number of 'fixed' (ground) points.
 
int numberFixedPoints () const
 Returns the number of 'fixed' (ground) points.
 
void incrementHeldImages ()
 Increases the number of 'held' images.
 
int numberHeldImages () const
 Returns the number of 'held' images.
 
void incrementIgnoredPoints ()
 Increase the number of ignored points.
 
int numberIgnoredPoints () const
 Returns the number of ignored points.
 
void setRejectionLimit (double rejectionLimit)
 Sets the rejection limit.
 
void setRmsXYResiduals (double rx, double ry, double rxy)
 Sets the root mean square of the x and y residuals.
 
void setNumberRejectedObservations (int numberObservations)
 Sets the number of rejected observations.
 
void setNumberImageObservations (int numberObservations)
 Sets the number of photogrammetric image observations.
 
void setNumberLidarImageObservations (int numberLidarObservations)
 Sets the number of lidar observations.
 
void setNumberObservations (int numberObservations)
 Sets the number of observations.
 
void setNumberImageParameters (int numberParameters)
 Sets the number of image parameters.
 
void setNumberConstrainedPointParameters (int numberParameters)
 Set number of contrained point parameters.
 
void setNumberConstrainedLidarPointParameters (int numberParameters)
 Set number of contrained point parameters.
 
void resetNumberConstrainedPointParameters ()
 Resets the number of contrained point parameters to 0.
 
void incrementNumberConstrainedPointParameters (int incrementAmount)
 Increase the number of contrained point parameters.
 
void resetNumberConstrainedImageParameters ()
 Resets the number of constrained image parameters to 0.
 
void incrementNumberConstrainedImageParameters (int incrementAmount)
 Increase the number of constrained image parameters.
 
void resetNumberConstrainedTargetParameters ()
 Resets the number of constrained target parameters to 0.
 
void incrementNumberConstrainedTargetParameters (int incrementAmount)
 Increases the number of constrained target parameters.
 
void setNumberLidarRangeConstraints (int numberLidarRangeConstraints)
 Sets the total number of lidar range constraints.
 
void setNumberUnknownParameters (int numberParameters)
 Sets the total number of parameters to solve for.
 
void computeDegreesOfFreedom ()
 Computes the degrees of freedom of the bundle adjustment and stores it internally.
 
void computeSigma0 (double dvtpv, BundleSettings::ConvergenceCriteria criteria)
 Computes the sigma0 and stores it internally.
 
void setDegreesOfFreedom (double degreesOfFreedom)
 Sets the degrees of freedom.
 
void setSigma0 (double sigma0)
 Sets the sigma0.
 
void setElapsedTime (double time)
 Sets the elapsed time for the bundle adjustment.
 
void setElapsedTimeErrorProp (double time)
 Sets the elapsed time for error propegation.
 
void setConverged (bool converged)
 Sets if the bundle adjustment converged.
 
void setBundleControlPoints (QVector< BundleControlPointQsp > controlPoints)
 Sets the bundle control point vector.
 
void setBundleLidarPoints (QVector< BundleLidarControlPointQsp > lidarPoints)
 Sets the bundle lidar point vector.
 
void setOutputControlNet (ControlNetQsp outNet)
 Sets the output ControlNet.
 
void setOutputLidarData (LidarDataQsp outLidarData)
 Sets the output LidarData object.
 
void setIterations (int iterations)
 Sets the number of iterations taken by the BundleAdjust.
 
void setObservations (BundleObservationVector observations)
 Sets the vector of BundleObservations.
 
QList< StatisticsrmsImageSampleResiduals () const
 Returns the list of RMS image sample residuals statistics.
 
QList< StatisticsrmsImageLineResiduals () const
 Returns the list of RMS image line residuals statistics.
 
QList< StatisticsrmsImageResiduals () const
 Returns the list of RMS image residuals statistics.
 
QList< StatisticsrmsLidarImageSampleResiduals () const
 Returns the list of RMS image lidar sample residuals statistics.
 
QList< StatisticsrmsLidarImageLineResiduals () const
 Returns the list of RMS image lidar line residuals statistics.
 
QList< StatisticsrmsLidarImageResiduals () const
 Returns the list of RMS image lidar residuals statistics.
 
QVector< StatisticsrmsImageXSigmas () const
 Returns the list of RMS image x sigma statistics.
 
QVector< StatisticsrmsImageYSigmas () const
 Returns the list of RMS image y sigma statistics.
 
QVector< StatisticsrmsImageZSigmas () const
 Returns the list of RMS image z sigma statistics.
 
QVector< StatisticsrmsImageRASigmas () const
 Returns the list of RMS image right ascension sigma statistics.
 
QVector< StatisticsrmsImageDECSigmas () const
 Returns the list of RMS image declination sigma statistics.
 
QVector< StatisticsrmsImageTWISTSigmas () const
 Returns the list of RMS image twist sigma statistics.
 
SurfacePoint::CoordinateType coordTypeReports ()
 
Distance minSigmaCoord1Distance () const
 Returns the minimum sigma distance for coordinate 1.
 
Distance maxSigmaCoord1Distance () const
 Returns the maximum sigma distance for coordinate 1.
 
Distance minSigmaCoord2Distance () const
 Returns the minimum sigma distance for coordinate 2.
 
Distance maxSigmaCoord2Distance () const
 Returns the maximum sigma distance for coordinate 2.
 
Distance minSigmaCoord3Distance () const
 Returns the minimum sigma distance for coordinate 3.
 
Distance maxSigmaCoord3Distance () const
 Returns the maximum sigma distance for coordinate 3.
 
QString maxSigmaCoord1PointId () const
 Returns the maximum sigma point id for coordinate 1.
 
QString minSigmaCoord1PointId () const
 Returns the minimum sigma point id for coordinate 1.
 
QString minSigmaCoord2PointId () const
 Returns the minimum sigma point id for coordinate 2.
 
QString maxSigmaCoord2PointId () const
 Returns the maximum sigma point id for coordinate 2.
 
QString minSigmaCoord3PointId () const
 Returns the minimum sigma point id for coordinate 3.
 
QString maxSigmaCoord3PointId () const
 Returns the maximum sigma point id for coordinate 3.
 
double sigmaCoord1StatisticsRms () const
 Returns the RMS of the adjusted sigmas for coordinate 1.
 
double sigmaCoord2StatisticsRms () const
 Returns the RMS of the adjusted sigmas for coordinate 2.
 
double sigmaCoord3StatisticsRms () const
 Returns the RMS of the adjusted sigmas for coordinate 3.
 
double rmsRx () const
 Returns the RMS of the x residuals.
 
double rmsRy () const
 Returns the RMS of the y residuals.
 
double rmsRxy () const
 Returns the RMS of the x and y residuals.
 
double rejectionLimit () const
 Returns the rejection limit.
 
int numberRejectedObservations () const
 Returns the number of observation that were rejected.
 
int numberObservations () const
 Returns the number of observations.
 
int numberImageObservations () const
 Returns the number of observations.
 
int numberLidarImageObservations () const
 Returns the number of lidar observations.
 
int numberImageParameters () const
 Returns the total number of image parameters.
 
int numberConstrainedPointParameters () const
 Returns the number of constrained point parameters.
 
int numberConstrainedImageParameters () const
 Returns the number of constrained image parameters.
 
int numberConstrainedTargetParameters () const
 Return the number of constrained target parameters.
 
int numberLidarRangeConstraintEquations () const
 Return the number of lidar range constraint equations.
 
int numberUnknownParameters () const
 Returns the number of unknown parameters.
 
int degreesOfFreedom () const
 Returns the degrees of freedom.
 
double sigma0 () const
 Returns the Sigma0 of the bundle adjustment.
 
double elapsedTime () const
 Returns the elapsed time for the bundle adjustment.
 
double elapsedTimeErrorProp () const
 Returns the elapsed time for error propagation.
 
bool converged () const
 Returns whether or not the bundle adjustment converged.
 
QVector< BundleControlPointQsp > & bundleControlPoints ()
 Returns a reference to the BundleControlPoint vector.
 
QVector< BundleLidarControlPointQsp > & bundleLidarControlPoints ()
 Returns a reference to the BundleLidarControlPoint vector.
 
ControlNetQsp outputControlNet () const
 Returns a shared pointer to the output control network.
 
LidarDataQsp outputLidarData () const
 Returns a shared pointer to the output LidarData object.
 
int iterations () const
 Returns the number of iterations taken by the BundleAdjust.
 
const BundleObservationVectorobservations () const
 Returns a reference to the observations used by the BundleAdjust.
 
int numberMaximumLikelihoodModels () const
 Returns how many maximum likelihood models were used in the bundle adjustment.
 
int maximumLikelihoodModelIndex () const
 Returns which step the bundle adjustment is on.
 
StatCumProbDistDynCalc cumulativeProbabilityDistribution () const
 Returns the cumulative probability distribution of the |R^2 residuals|.
 
StatCumProbDistDynCalc residualsCumulativeProbabilityDistribution () const
 Returns the cumulative probability distribution of the residuals used for reporting.
 
double maximumLikelihoodMedianR2Residuals () const
 Returns the median of the |R^2 residuals|.
 
MaximumLikelihoodWFunctions maximumLikelihoodModelWFunc (int modelIndex) const
 Returns the maximum likelihood model at the given index.
 
double maximumLikelihoodModelQuantile (int modelIndex) const
 Returns the quantile of the maximum likelihood model at the given index.
 
QList< QPair< MaximumLikelihoodWFunctions, double > > maximumLikelihoodModels () const
 
bool setNumberHeldImages (SerialNumberList pHeldSnList, SerialNumberList *pSnList)
 
CorrelationMatrix correlationMatrix () const
 Returns the Correlation Matrix.
 
void setCorrMatCovFileName (FileName name)
 Set the covariance file name for the matrix used to calculate the correlation matrix.
 
void setCorrMatImgsAndParams (QMap< QString, QStringList > imgsAndParams)
 Set the images and their associated parameters of the correlation matrix.
 
void save (QXmlStreamWriter &stream, const Project *project) const
 Saves the BundleResults object to an XML file.
 

Private Attributes

CorrelationMatrixm_correlationMatrix
 The correlation matrix from the BundleAdjust.
 
int m_numberFixedPoints
 number of 'fixed' (ground) points (define)
 
int m_numberIgnoredPoints
 number of ignored points
 
int m_numberHeldImages
 number of 'held' images (define)
 
double m_rmsXResiduals
 rms of x residuals
 
double m_rmsYResiduals
 rms of y residuals
 
double m_rmsXYResiduals
 rms of all x and y residuals
 
double m_rejectionLimit
 current rejection limit
 
int m_numberObservations
 number of image coordinate observations
 
int m_numberImageObservations
 photogrammetry image coords. (2 per measure)
 
int m_numberLidarImageObservations
 lidar image coords. (2 per measure)
 
int m_numberRejectedObservations
 number of rejected image coordinate observations
 
int m_numberLidarRangeConstraintEquations
 
int m_numberUnknownParameters
 total number of parameters to solve for
 
int m_numberImageParameters
 number of image parameters
 
int m_numberConstrainedImageParameters
 number of constrained image parameters
 
int m_numberConstrainedPointParameters
 number of constrained point parameters
 
int m_numberConstrainedLidarPointParameters
 lidar points
 
int m_numberConstrainedTargetParameters
 number of constrained target parameters
 
int m_degreesOfFreedom
 degrees of freedom
 
double m_sigma0
 std deviation of unit weight
 
double m_elapsedTime
 elapsed time for bundle
 
double m_elapsedTimeErrorProp
 elapsed time for error propagation
 
bool m_converged
 
QVector< BundleControlPointQspm_bundleControlPoints
 The vector of BundleControlPoints from BundleAdjust.
 
QVector< BundleLidarControlPointQspm_bundleLidarPoints
 
ControlNetQsp m_outNet
 The output control net from BundleAdjust.
 
LidarDataQsp m_outLidarData
 Output lidar data from BundleAdjust.
 
int m_iterations
 The number of iterations taken by BundleAdjust.
 
BundleObservationVector m_observations
 The vector of BundleObservations from BundleAdjust.
 
QList< Statisticsm_rmsImageSampleResiduals
 List of RMS image sample residual statistics for each image in the bundle

 
QList< Statisticsm_rmsImageLineResiduals
 List of RMS image line residual statistics for each image in the bundle

 
QList< Statisticsm_rmsImageResiduals
 RMS image sample and line residual statistics for each image in the bundle

 
QList< Statisticsm_rmsLidarImageSampleResiduals
 List of RMS lidar sample residual stats for each image in the bundle

 
QList< Statisticsm_rmsLidarImageLineResiduals
 List of RMS lidar line residual stats for each image in the bundle

 
QList< Statisticsm_rmsLidarImageResiduals
 RMS image lidar sample & line residual stats for each image in the bundle

 
QVector< Statisticsm_rmsImageXSigmas
 
QVector< Statisticsm_rmsImageYSigmas
 < The root mean square image y sigmas.
 
QVector< Statisticsm_rmsImageZSigmas
 < The root mean square image z sigmas.
 
QVector< Statisticsm_rmsImageRASigmas
 < The root mean square image right ascension sigmas.
 
QVector< Statisticsm_rmsImageDECSigmas
 < The root mean square image declination sigmas.
 
QVector< Statisticsm_rmsImageTWISTSigmas
 < The root mean square image twist sigmas.
 
Distance m_minSigmaCoord1Distance
 The minimum sigma latitude distance.
 
Distance m_maxSigmaCoord1Distance
 The maximum sigma latitude distance.
 
Distance m_minSigmaCoord2Distance
 The minimum sigma longitude distance.
 
Distance m_maxSigmaCoord2Distance
 The maximum sigma longitude distance.
 
Distance m_minSigmaCoord3Distance
 The minimum sigma radius distance.
 
Distance m_maxSigmaCoord3Distance
 The maximum sigma radius distance.
 
QString m_minSigmaCoord1PointId
 The minimum sigma coordinate 1 point id.
 
QString m_maxSigmaCoord1PointId
 The maximum sigma coordinate 1 point id.
 
QString m_minSigmaCoord2PointId
 The minimum sigma coordinate 2 point id.
 
QString m_maxSigmaCoord2PointId
 The maximum sigma coordinate2 point id.
 
QString m_minSigmaCoord3PointId
 The minimum sigma coordinate 3 point id.
 
QString m_maxSigmaCoord3PointId
 The maximum sigma coordinate 3 point id.
 
double m_rmsSigmaCoord1Stats
 rms of adjusted Latitude sigmas
 
double m_rmsSigmaCoord2Stats
 rms of adjusted Longitude sigmas
 
double m_rmsSigmaCoord3Stats
 rms of adjusted Radius sigmas
 
QList< QPair< MaximumLikelihoodWFunctions, double > > m_maximumLikelihoodFunctions
 < The maximum likelihood models and their quantiles.
 
int m_maximumLikelihoodIndex
 This count keeps track of which stage of the maximum likelihood adjustment the bundle is currently on.
 
StatCumProbDistDynCalcm_cumPro
 This class will be used to calculate the cumulative probability distribution of |R^2 residuals|, quantiles of this distribution are used to adjust the maximum likelihood functions dynamically iteration by iteration.
 
StatCumProbDistDynCalcm_cumProRes
 This class keeps track of the cumulative probability distribution of residuals (in unweighted pixels), this is used for reporting, and not for computation.
 
double m_maximumLikelihoodMedianR2Residuals
 Median of R^2 residuals.
 

Detailed Description

A container class for statistical results from a BundleAdjust solution.

Author
2014-07-01 Jeannie Backer
History

2014-07-01 Jeannie Backer - Original version

2014-07-14 Kimberly Oyama - Added support for correlation matrix.

2014-07-16 Jeannie Backer - Changed pvlGroup() to pvlObject()

2014-07-23 Jeannie Backer - Added QDataStream operators (<< and >>) and read/write methods. Initialize m_cumProRes in the constructor since this variable is used regardless of whether maximum likelihood estimation is used.

2015-09-03 Jeannie Backer - Added preliminary hdf5 read/write capabilities. Renamed member variables to make names more descriptive.

2015-10-14 Jeffrey Covington - Declared BundleResults as a Qt metatype for use with QVariant.

2016-07-01 Jesse Mapel - Updated documentation and testing in preparation for merging from IPCE into ISIS. Fixes #3975.

2016-08-10 Jeannie Backer - Replaced boost vector with Isis::LinearAlgebra::Vector. References #4163.

2016-08-15 Jesse Mapel - Added iteration count, radians to meters conversion, observation vector, bundle control point vector, and output control network for write methods in BundleSolutionInfo. Fixes #4159.

2017-04-24 Ian Humphrey - Removed pvlObject() method. Commented out m_id serialization for save() (causes segfault in unit test for empty xml). Fixes #4797.

2017-04-27 J Bonn - Updated serialization code and tests.

2017-05-30 Debbie A. Cook - Corrected class names in method comments and generalized control point coordinate names. Methods changed: copy constructor, assignment operator, initialize, Also added access methods for coordinate types. References #4649 and #501.

2018-06-01 Ken Edmundson - removed derivation from QObject; added member variable m_numberLidarRangeConstraintEquations with setter/getter; added member variable m_outLidarData with setter/getter.

2018-09-30 Debbie A. Cook - Removed methods setRadiansToMeters and radiansToMeters and member variable m_radiansToMeters. References #4649 and #501.

2019-04-28 Ken Edmundson - Added QList<Statistics> members for lidar residuals - m_rmsLidarImageSampleResiduals, m_rmsLidarImageLineResiduals, m_rmsLidarImageResiduals. Also added accessors for these lists and a method to set them (setRmsLidarImageResidualLists).

Definition at line 91 of file BundleResults.h.

Constructor & Destructor Documentation

◆ BundleResults() [1/3]

Isis::BundleResults::BundleResults ( QObject * parent = 0)

Constructs a BundleResults object.

Parameters
parentThe Qt-relationship parent.

Definition at line 48 of file BundleResults.cpp.

References initialize(), initializeResidualsProbabilityDistribution(), m_correlationMatrix, m_cumPro, and m_cumProRes.

◆ BundleResults() [2/3]

Isis::BundleResults::BundleResults ( Project * project,
XmlStackedHandlerReader * xmlReader,
QObject * parent = 0 )

Construct this BundleResults object from XML.

Parameters
bundleSettingsFolderWhere the settings XML for this bundle adjustment resides - /work/.../projectRoot/images/import1
xmlReaderAn XML reader that's up to a <bundleSettings> tag.
parentThe Qt-relationship parent.

Definition at line 71 of file BundleResults.cpp.

References initialize().

◆ BundleResults() [3/3]

Isis::BundleResults::BundleResults ( const BundleResults & src)

Copy constructor for BundleResults.

Creates this BundleResults object as a copy of another BundleResults object.

Parameters
srcThe other BundleResults object to be copied.

Definition at line 89 of file BundleResults.cpp.

◆ ~BundleResults()

Isis::BundleResults::~BundleResults ( )

Destroys this BundleResults object.

Definition at line 158 of file BundleResults.cpp.

References m_correlationMatrix, m_cumPro, and m_cumProRes.

Member Function Documentation

◆ addProbabilityDistributionObservation()

void Isis::BundleResults::addProbabilityDistributionObservation ( double observationValue)

Adds an observation to the cumulative probability distribution of |R^2 residuals|.

Parameters
observationValueThe value of the added observation.

Definition at line 580 of file BundleResults.cpp.

References Isis::StatCumProbDistDynCalc::addObs(), and m_cumPro.

Referenced by Isis::BundleAdjust::computePartials().

◆ addResidualsProbabilityDistributionObservation()

void Isis::BundleResults::addResidualsProbabilityDistributionObservation ( double observationValue)

Adds an observation to the cumulative probability distribution of residuals used for reporting.

Parameters
observationValueThe value of the added observation.

Definition at line 591 of file BundleResults.cpp.

References Isis::StatCumProbDistDynCalc::addObs(), and m_cumProRes.

Referenced by Isis::BundleAdjust::computePartials().

◆ bundleControlPoints()

QVector< BundleControlPointQsp > & Isis::BundleResults::bundleControlPoints ( )

Returns a reference to the BundleControlPoint vector.

Returns
QVector<BundleControlPointQsp>& The BundleControlPoint vector.

Definition at line 1458 of file BundleResults.cpp.

References m_bundleControlPoints.

Referenced by Isis::BundleSolutionInfo::outputPointsCSV(), Isis::BundleSolutionInfo::outputResiduals(), and Isis::BundleSolutionInfo::outputText().

◆ bundleLidarControlPoints()

◆ computeDegreesOfFreedom()

void Isis::BundleResults::computeDegreesOfFreedom ( )

◆ computeSigma0()

void Isis::BundleResults::computeSigma0 ( double dvtpv,
BundleSettings::ConvergenceCriteria criteria )

Computes the sigma0 and stores it internally.

Sigma0 is the standard deviation of an observation of unit weight. Sigma0^2 is the variance of an observation of unit weight (also reference variance or variance factor).

Sigma0^2 = vtpv/degrees of freedom.

Parameters
dvtpvThe weighted sum of the squares of the residuals. Computed by V transpose * P * V, where V is the vector of residuals and P is the weight matrix.
criteriaThe convergence criteria for the bundle adjustment.
Exceptions
IException::Io"Computed degrees of freedom is invalid."

Definition at line 861 of file BundleResults.cpp.

References computeDegreesOfFreedom(), Isis::IException::Io, m_degreesOfFreedom, m_sigma0, Isis::BundleSettings::ParameterCorrections, and Isis::toString().

Referenced by Isis::BundleAdjust::solveCholesky().

◆ converged()

bool Isis::BundleResults::converged ( ) const

Returns whether or not the bundle adjustment converged.

Returns
bool If the bundle adjustment converged.

Definition at line 1448 of file BundleResults.cpp.

Referenced by Isis::BundleAdjust::isConverged(), Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputImagesCSV(), Isis::BundleSolutionInfo::outputText(), save(), setConverged(), and Isis::BundleAdjust::solveCholesky().

◆ coordTypeReports()

SurfacePoint::CoordinateType Isis::BundleResults::coordTypeReports ( )

Definition at line 1644 of file BundleResults.cpp.

◆ correlationMatrix()

CorrelationMatrix Isis::BundleResults::correlationMatrix ( ) const

Returns the Correlation Matrix.

Returns
CorrelationMatrix The correlation matrix.
Exceptions
IException::Unknown"Correlation matrix for this bundle is NULL."

Definition at line 1610 of file BundleResults.cpp.

References m_correlationMatrix, and Isis::IException::Unknown.

Referenced by save(), setCorrMatCovFileName(), and setCorrMatImgsAndParams().

◆ cumulativeProbabilityDistribution()

StatCumProbDistDynCalc Isis::BundleResults::cumulativeProbabilityDistribution ( ) const

Returns the cumulative probability distribution of the |R^2 residuals|.

Returns
StatCumProbDistDynCalc The cumulative probability distribution of the |R^2 residuals|.

Definition at line 1548 of file BundleResults.cpp.

References m_cumPro.

◆ degreesOfFreedom()

int Isis::BundleResults::degreesOfFreedom ( ) const

Returns the degrees of freedom.

Returns
int the degrees of freedom.

Definition at line 1408 of file BundleResults.cpp.

References m_degreesOfFreedom.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), save(), setDegreesOfFreedom(), and Isis::BundleAdjust::solveCholesky().

◆ elapsedTime()

double Isis::BundleResults::elapsedTime ( ) const

Returns the elapsed time for the bundle adjustment.

Returns
double The elapsed time for the bundle adjustment.

Definition at line 1428 of file BundleResults.cpp.

References m_elapsedTime.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), and save().

◆ elapsedTimeErrorProp()

double Isis::BundleResults::elapsedTimeErrorProp ( ) const

Returns the elapsed time for error propagation.

Returns
double The elapsed time for error propagation.

Definition at line 1438 of file BundleResults.cpp.

References m_elapsedTimeErrorProp.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), and save().

◆ incrementFixedPoints()

void Isis::BundleResults::incrementFixedPoints ( )

Increase the number of 'fixed' (ground) points.

Definition at line 608 of file BundleResults.cpp.

References m_numberFixedPoints.

◆ incrementHeldImages()

void Isis::BundleResults::incrementHeldImages ( )

Increases the number of 'held' images.

Definition at line 626 of file BundleResults.cpp.

References m_numberHeldImages.

◆ incrementIgnoredPoints()

void Isis::BundleResults::incrementIgnoredPoints ( )

Increase the number of ignored points.

Definition at line 644 of file BundleResults.cpp.

References m_numberIgnoredPoints.

◆ incrementMaximumLikelihoodModelIndex()

void Isis::BundleResults::incrementMaximumLikelihoodModelIndex ( )

Increases the value that indicates which stage the maximum likelihood adjustment is currently on.

Definition at line 600 of file BundleResults.cpp.

References m_maximumLikelihoodIndex.

Referenced by Isis::BundleAdjust::solveCholesky().

◆ incrementNumberConstrainedImageParameters()

void Isis::BundleResults::incrementNumberConstrainedImageParameters ( int incrementAmount)

Increase the number of constrained image parameters.

Parameters
incrementAmountThe amount to increase by.

Definition at line 787 of file BundleResults.cpp.

References m_numberConstrainedImageParameters.

Referenced by Isis::BundleAdjust::formWeightedNormals().

◆ incrementNumberConstrainedPointParameters()

void Isis::BundleResults::incrementNumberConstrainedPointParameters ( int incrementAmount)

Increase the number of contrained point parameters.

Parameters
incrementAmountThe amount to increase by.

Definition at line 769 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

◆ incrementNumberConstrainedTargetParameters()

void Isis::BundleResults::incrementNumberConstrainedTargetParameters ( int incrementAmount)

Increases the number of constrained target parameters.

Parameters
incrementAmountThe amount to increase by.

Definition at line 805 of file BundleResults.cpp.

References m_numberConstrainedTargetParameters.

Referenced by Isis::BundleAdjust::formWeightedNormals().

◆ initialize()

void Isis::BundleResults::initialize ( )

Initializes the BundleResults to a default state where all numeric members are set to 0 or another default value, all QString members are set to empty, all QVectors and QLists are cleared, and all other members are set to NULL.

Definition at line 263 of file BundleResults.cpp.

References m_correlationMatrix, m_cumPro, m_cumProRes, m_degreesOfFreedom, m_elapsedTime, m_elapsedTimeErrorProp, m_iterations, m_maximumLikelihoodFunctions, m_maximumLikelihoodIndex, m_maximumLikelihoodMedianR2Residuals, m_maxSigmaCoord1Distance, m_maxSigmaCoord1PointId, m_maxSigmaCoord2Distance, m_maxSigmaCoord2PointId, m_maxSigmaCoord3Distance, m_maxSigmaCoord3PointId, m_minSigmaCoord1Distance, m_minSigmaCoord1PointId, m_minSigmaCoord2Distance, m_minSigmaCoord2PointId, m_minSigmaCoord3Distance, m_minSigmaCoord3PointId, m_numberConstrainedImageParameters, m_numberConstrainedLidarPointParameters, m_numberConstrainedPointParameters, m_numberConstrainedTargetParameters, m_numberFixedPoints, m_numberHeldImages, m_numberIgnoredPoints, m_numberImageObservations, m_numberImageParameters, m_numberLidarImageObservations, m_numberLidarRangeConstraintEquations, m_numberObservations, m_numberRejectedObservations, m_numberUnknownParameters, m_observations, m_outLidarData, m_outNet, m_rejectionLimit, m_rmsImageDECSigmas, m_rmsImageLineResiduals, m_rmsImageRASigmas, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, m_rmsLidarImageLineResiduals, m_rmsLidarImageResiduals, m_rmsLidarImageSampleResiduals, m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, m_rmsSigmaCoord3Stats, m_rmsXResiduals, m_rmsXYResiduals, m_rmsYResiduals, m_sigma0, and Isis::Distance::setMeters().

Referenced by BundleResults(), and BundleResults().

◆ initializeProbabilityDistribution()

void Isis::BundleResults::initializeProbabilityDistribution ( unsigned int nodes = 20)

Initializes or resets the cumulative probability distribution of |R^2 residuals|.

Parameters
nodesThe number of quantiles in the cumulative probability distribution.

Definition at line 559 of file BundleResults.cpp.

References m_cumPro.

Referenced by maximumLikelihoodSetUp(), and printMaximumLikelihoodTierInformation().

◆ initializeResidualsProbabilityDistribution()

void Isis::BundleResults::initializeResidualsProbabilityDistribution ( unsigned int nodes = 20)

Initializes or resets the cumulative probability distribution of residuals used for reporting.

Parameters
nodesThe number of quantiles in the cumulative probability distribution.

Definition at line 569 of file BundleResults.cpp.

References m_cumProRes.

Referenced by BundleResults(), maximumLikelihoodSetUp(), and Isis::BundleAdjust::solveCholesky().

◆ iterations()

int Isis::BundleResults::iterations ( ) const

Returns the number of iterations taken by the BundleAdjust.

Returns
int The number of iterations.

Definition at line 1507 of file BundleResults.cpp.

References m_iterations.

Referenced by Isis::BundleSolutionInfo::outputHeader(), save(), and setIterations().

◆ maximumLikelihoodMedianR2Residuals()

double Isis::BundleResults::maximumLikelihoodMedianR2Residuals ( ) const

Returns the median of the |R^2 residuals|.

Returns
double The median of the |R^2 residuals|.

Definition at line 1568 of file BundleResults.cpp.

References m_maximumLikelihoodMedianR2Residuals.

Referenced by Isis::BundleAdjust::iterationSummary(), save(), and Isis::BundleResults::XmlHandler::startElement().

◆ maximumLikelihoodModelIndex()

int Isis::BundleResults::maximumLikelihoodModelIndex ( ) const

Returns which step the bundle adjustment is on.

Returns
int The maximum likelihood model that the bundle adjustment is currently using.

Definition at line 1537 of file BundleResults.cpp.

References m_maximumLikelihoodIndex.

Referenced by Isis::BundleAdjust::computePartials(), Isis::BundleAdjust::iterationSummary(), save(), and Isis::BundleAdjust::solveCholesky().

◆ maximumLikelihoodModelQuantile()

double Isis::BundleResults::maximumLikelihoodModelQuantile ( int modelIndex) const

Returns the quantile of the maximum likelihood model at the given index.

Parameters
modelIndexThe index of the maximum likelihood model whose quantile will be returned.
Returns
double The quantile of the desired maximum likelihood model.

Definition at line 1592 of file BundleResults.cpp.

References m_maximumLikelihoodFunctions.

Referenced by Isis::BundleSolutionInfo::outputHeader().

◆ maximumLikelihoodModelWFunc()

MaximumLikelihoodWFunctions Isis::BundleResults::maximumLikelihoodModelWFunc ( int modelIndex) const

Returns the maximum likelihood model at the given index.

Parameters
modelIndexThe index of the maximum likelihood model to be returned.
Returns
MaximumLikelihoodWFunctions The maximum likelihood model at the input index.

Definition at line 1580 of file BundleResults.cpp.

References m_maximumLikelihoodFunctions.

Referenced by Isis::BundleAdjust::computePartials(), and Isis::BundleSolutionInfo::outputHeader().

◆ maximumLikelihoodSetUp()

void Isis::BundleResults::maximumLikelihoodSetUp ( QList< QPair< MaximumLikelihoodWFunctions::Model, double > > modelsWithQuantiles)

This method steps up the maximum likelihood estimation solution.

Up to three successive solutions models are available.

Parameters
modelsWithQuantilesThe maixmum likelihood models and their quantiles. If empty, then maximum likelihood estimation will not be used.

Definition at line 492 of file BundleResults.cpp.

References initializeProbabilityDistribution(), initializeResidualsProbabilityDistribution(), m_cumPro, m_cumProRes, m_maximumLikelihoodFunctions, m_maximumLikelihoodIndex, and m_maximumLikelihoodMedianR2Residuals.

Referenced by Isis::BundleAdjust::init().

◆ maxSigmaCoord1Distance()

Distance Isis::BundleResults::maxSigmaCoord1Distance ( ) const

Returns the maximum sigma distance for coordinate 1.

Returns
Distance The maximum sigma Coord1.

Definition at line 1128 of file BundleResults.cpp.

References m_maxSigmaCoord1Distance.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ maxSigmaCoord1PointId()

QString Isis::BundleResults::maxSigmaCoord1PointId ( ) const

Returns the maximum sigma point id for coordinate 1.

Returns
@QString The maximum sigma Coord1 point id.

Definition at line 1188 of file BundleResults.cpp.

References m_maxSigmaCoord1PointId.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ maxSigmaCoord2Distance()

Distance Isis::BundleResults::maxSigmaCoord2Distance ( ) const

Returns the maximum sigma distance for coordinate 2.

Returns
Distance The maximum sigma Coord2.

Definition at line 1148 of file BundleResults.cpp.

References m_maxSigmaCoord2Distance.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ maxSigmaCoord2PointId()

QString Isis::BundleResults::maxSigmaCoord2PointId ( ) const

Returns the maximum sigma point id for coordinate 2.

Returns
@QString The maximum sigma Coord2 point id.

Definition at line 1208 of file BundleResults.cpp.

References m_maxSigmaCoord2PointId.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ maxSigmaCoord3Distance()

Distance Isis::BundleResults::maxSigmaCoord3Distance ( ) const

Returns the maximum sigma distance for coordinate 3.

Returns
Distance The maximum sigma Coord3.

Definition at line 1168 of file BundleResults.cpp.

References m_maxSigmaCoord3Distance.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ maxSigmaCoord3PointId()

QString Isis::BundleResults::maxSigmaCoord3PointId ( ) const

Returns the maximum sigma point id for coordinate 3.

Returns
@QString The maximum sigma Coord3 point id.

Definition at line 1228 of file BundleResults.cpp.

References m_maxSigmaCoord3PointId.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ minSigmaCoord1Distance()

Distance Isis::BundleResults::minSigmaCoord1Distance ( ) const

Returns the minimum sigma distance for coordinate 1.

Returns
Distance The minimum sigma for Coord1.

Definition at line 1118 of file BundleResults.cpp.

References m_minSigmaCoord1Distance.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ minSigmaCoord1PointId()

QString Isis::BundleResults::minSigmaCoord1PointId ( ) const

Returns the minimum sigma point id for coordinate 1.

Returns
@QString The minimum sigma Coord1 point id.

Definition at line 1178 of file BundleResults.cpp.

References m_minSigmaCoord1PointId.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ minSigmaCoord2Distance()

Distance Isis::BundleResults::minSigmaCoord2Distance ( ) const

Returns the minimum sigma distance for coordinate 2.

Returns
Distance The minimum sigma Coord2.

Definition at line 1138 of file BundleResults.cpp.

References m_minSigmaCoord2Distance.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ minSigmaCoord2PointId()

QString Isis::BundleResults::minSigmaCoord2PointId ( ) const

Returns the minimum sigma point id for coordinate 2.

Returns
@QString The minimum sigma longitude point id.

Definition at line 1198 of file BundleResults.cpp.

References m_minSigmaCoord2PointId.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ minSigmaCoord3Distance()

Distance Isis::BundleResults::minSigmaCoord3Distance ( ) const

Returns the minimum sigma distance for coordinate 3.

Returns
Distance The minimum sigma Coord3.

Definition at line 1158 of file BundleResults.cpp.

References m_minSigmaCoord3Distance.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ minSigmaCoord3PointId()

QString Isis::BundleResults::minSigmaCoord3PointId ( ) const

Returns the minimum sigma point id for coordinate 3.

Returns
@QString The minimum sigma Coord3 point id.

Definition at line 1218 of file BundleResults.cpp.

References m_minSigmaCoord3PointId.

Referenced by Isis::BundleSolutionInfo::outputText(), and save().

◆ numberConstrainedImageParameters()

int Isis::BundleResults::numberConstrainedImageParameters ( ) const

Returns the number of constrained image parameters.

Returns
int The number of constrained image parameters.

Definition at line 1368 of file BundleResults.cpp.

References m_numberConstrainedImageParameters.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), and save().

◆ numberConstrainedPointParameters()

int Isis::BundleResults::numberConstrainedPointParameters ( ) const

Returns the number of constrained point parameters.

Returns
int The number of constrained point parameters.

Definition at line 1358 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), save(), and Isis::BundleAdjust::solveCholesky().

◆ numberConstrainedTargetParameters()

int Isis::BundleResults::numberConstrainedTargetParameters ( ) const

Return the number of constrained target parameters.

Returns
int The number of constrained target parameters.

Definition at line 1378 of file BundleResults.cpp.

References m_numberConstrainedTargetParameters.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), and save().

◆ numberFixedPoints()

int Isis::BundleResults::numberFixedPoints ( ) const

Returns the number of 'fixed' (ground) points.

Returns
int The number of fixed points.

Definition at line 618 of file BundleResults.cpp.

References m_numberFixedPoints.

Referenced by save().

◆ numberHeldImages()

int Isis::BundleResults::numberHeldImages ( ) const

Returns the number of 'held' images.

Returns
int The number of held images.

Definition at line 636 of file BundleResults.cpp.

References m_numberHeldImages.

Referenced by save().

◆ numberIgnoredPoints()

int Isis::BundleResults::numberIgnoredPoints ( ) const

Returns the number of ignored points.

Returns
int The number of ignored points.

Definition at line 654 of file BundleResults.cpp.

References m_numberIgnoredPoints.

Referenced by save().

◆ numberImageObservations()

int Isis::BundleResults::numberImageObservations ( ) const

Returns the number of observations.

Returns
int The number of observations.

Definition at line 1328 of file BundleResults.cpp.

References m_numberImageObservations.

Referenced by save().

◆ numberImageParameters()

int Isis::BundleResults::numberImageParameters ( ) const

Returns the total number of image parameters.

Returns
int The total number of image parameters.

Definition at line 1348 of file BundleResults.cpp.

References m_numberImageParameters.

Referenced by save().

◆ numberLidarImageObservations()

int Isis::BundleResults::numberLidarImageObservations ( ) const

Returns the number of lidar observations.

Returns
int The number of lidar observations.

Definition at line 1338 of file BundleResults.cpp.

References m_numberLidarImageObservations.

Referenced by save().

◆ numberLidarRangeConstraintEquations()

int Isis::BundleResults::numberLidarRangeConstraintEquations ( ) const

Return the number of lidar range constraint equations.

Returns
int The number of lidar range constraint equations.

Definition at line 1388 of file BundleResults.cpp.

References m_numberLidarRangeConstraintEquations.

Referenced by Isis::BundleSolutionInfo::outputHeader(), and save().

◆ numberMaximumLikelihoodModels()

int Isis::BundleResults::numberMaximumLikelihoodModels ( ) const

Returns how many maximum likelihood models were used in the bundle adjustment.

Returns
int The number fo maximum likelihood models.

Definition at line 1527 of file BundleResults.cpp.

References m_maximumLikelihoodFunctions.

Referenced by Isis::BundleAdjust::computePartials(), Isis::BundleAdjust::iterationSummary(), printMaximumLikelihoodTierInformation(), save(), and Isis::BundleAdjust::solveCholesky().

◆ numberObservations()

int Isis::BundleResults::numberObservations ( ) const

◆ numberRejectedObservations()

int Isis::BundleResults::numberRejectedObservations ( ) const

Returns the number of observation that were rejected.

Returns
int The number of rejected observations.

Definition at line 1308 of file BundleResults.cpp.

References m_numberRejectedObservations.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), save(), and setNumberRejectedObservations().

◆ numberUnknownParameters()

int Isis::BundleResults::numberUnknownParameters ( ) const

Returns the number of unknown parameters.

Returns
int The number of unknown parameters.

Definition at line 1398 of file BundleResults.cpp.

References m_numberUnknownParameters.

Referenced by Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), save(), and Isis::BundleAdjust::solveCholesky().

◆ observations()

const BundleObservationVector & Isis::BundleResults::observations ( ) const

Returns a reference to the observations used by the BundleAdjust.

Returns
BundleObservationVector& A reference to the observation vector.

Definition at line 1517 of file BundleResults.cpp.

References m_observations.

Referenced by Isis::BundleSolutionInfo::outputHeader(), Isis::BundleSolutionInfo::outputImagesCSV(), Isis::BundleSolutionInfo::outputText(), and setObservations().

◆ operator=()

BundleResults & Isis::BundleResults::operator= ( const BundleResults & src)

Assignment operator for BundleResults.

Overwrites this BundleResults object with another BundleResults object.

Parameters
srcThe other BundleResults object to be copied from.

Definition at line 178 of file BundleResults.cpp.

References m_bundleControlPoints, m_correlationMatrix, m_cumPro, m_cumProRes, m_degreesOfFreedom, m_elapsedTime, m_elapsedTimeErrorProp, m_iterations, m_maximumLikelihoodFunctions, m_maximumLikelihoodIndex, m_maximumLikelihoodMedianR2Residuals, m_maxSigmaCoord1Distance, m_maxSigmaCoord1PointId, m_maxSigmaCoord2Distance, m_maxSigmaCoord2PointId, m_maxSigmaCoord3Distance, m_maxSigmaCoord3PointId, m_minSigmaCoord1Distance, m_minSigmaCoord1PointId, m_minSigmaCoord2Distance, m_minSigmaCoord2PointId, m_minSigmaCoord3Distance, m_minSigmaCoord3PointId, m_numberConstrainedImageParameters, m_numberConstrainedLidarPointParameters, m_numberConstrainedPointParameters, m_numberConstrainedTargetParameters, m_numberFixedPoints, m_numberHeldImages, m_numberIgnoredPoints, m_numberImageObservations, m_numberImageParameters, m_numberLidarImageObservations, m_numberLidarRangeConstraintEquations, m_numberObservations, m_numberRejectedObservations, m_numberUnknownParameters, m_observations, m_outLidarData, m_outNet, m_rejectionLimit, m_rmsImageDECSigmas, m_rmsImageLineResiduals, m_rmsImageRASigmas, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, m_rmsLidarImageLineResiduals, m_rmsLidarImageResiduals, m_rmsLidarImageSampleResiduals, m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, m_rmsSigmaCoord3Stats, m_rmsXResiduals, m_rmsXYResiduals, m_rmsYResiduals, and m_sigma0.

◆ outputControlNet()

ControlNetQsp Isis::BundleResults::outputControlNet ( ) const

Returns a shared pointer to the output control network.

Returns
ControlNetQsp A shared pointer to the output control network.
Exceptions
IException::Programmer"Output Control Network has not been set."

Definition at line 1480 of file BundleResults.cpp.

References m_outNet, and Isis::IException::Programmer.

Referenced by Isis::JigsawRunWidget::on_JigsawAcceptButton_clicked(), Isis::BundleSolutionInfo::outputHeader(), and save().

◆ outputLidarData()

LidarDataQsp Isis::BundleResults::outputLidarData ( ) const

Returns a shared pointer to the output LidarData object.

Returns
LidarDataQsp A shared pointer to the output LidarData object.
Exceptions
IException::Programmer"Output LidarData object has not been set."

Definition at line 1497 of file BundleResults.cpp.

References m_outLidarData.

Referenced by Isis::BundleSolutionInfo::outputHeader().

◆ printMaximumLikelihoodTierInformation()

void Isis::BundleResults::printMaximumLikelihoodTierInformation ( )

◆ rejectionLimit()

double Isis::BundleResults::rejectionLimit ( ) const

Returns the rejection limit.

Returns
double The rejection limit.

Definition at line 1298 of file BundleResults.cpp.

References m_rejectionLimit.

Referenced by Isis::BundleAdjust::computeRejectionLimit(), Isis::BundleAdjust::flagOutliers(), save(), and setRejectionLimit().

◆ resetNumberConstrainedImageParameters()

void Isis::BundleResults::resetNumberConstrainedImageParameters ( )

Resets the number of constrained image parameters to 0.

Definition at line 777 of file BundleResults.cpp.

References m_numberConstrainedImageParameters.

Referenced by Isis::BundleAdjust::formWeightedNormals().

◆ resetNumberConstrainedPointParameters()

void Isis::BundleResults::resetNumberConstrainedPointParameters ( )

Resets the number of contrained point parameters to 0.

Definition at line 759 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

◆ resetNumberConstrainedTargetParameters()

void Isis::BundleResults::resetNumberConstrainedTargetParameters ( )

Resets the number of constrained target parameters to 0.

Definition at line 795 of file BundleResults.cpp.

References m_numberConstrainedTargetParameters.

Referenced by Isis::BundleAdjust::formWeightedNormals().

◆ residualsCumulativeProbabilityDistribution()

StatCumProbDistDynCalc Isis::BundleResults::residualsCumulativeProbabilityDistribution ( ) const

Returns the cumulative probability distribution of the residuals used for reporting.

Returns
StatCumProbDistDynCalc the cumulative probability distribution of the residuals.

Definition at line 1558 of file BundleResults.cpp.

References m_cumProRes.

Referenced by Isis::BundleSolutionInfo::outputHeader().

◆ resizeSigmaStatisticsVectors()

void Isis::BundleResults::resizeSigmaStatisticsVectors ( int numberImages)

Resizes all image sigma vectors.

Parameters
numberImagesThe new size for the image sigma vectors.

Definition at line 363 of file BundleResults.cpp.

References m_rmsImageDECSigmas, m_rmsImageRASigmas, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, and m_rmsImageZSigmas.

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ rmsImageDECSigmas()

QVector< Statistics > Isis::BundleResults::rmsImageDECSigmas ( ) const

Returns the list of RMS image declination sigma statistics.

Returns
QList<Statistics> The RMS image declination sigma statistics.

Definition at line 1098 of file BundleResults.cpp.

References m_rmsImageDECSigmas.

Referenced by save().

◆ rmsImageLineResiduals()

QList< Statistics > Isis::BundleResults::rmsImageLineResiduals ( ) const

Returns the list of RMS image line residuals statistics.

Returns
QList<Statistics> The RMS image line residual statistics.

Definition at line 1008 of file BundleResults.cpp.

References m_rmsImageLineResiduals.

Referenced by Isis::BundleSolutionInfo::outputImagesCSV(), save(), and setRmsImageResidualLists().

◆ rmsImageRASigmas()

QVector< Statistics > Isis::BundleResults::rmsImageRASigmas ( ) const

Returns the list of RMS image right ascension sigma statistics.

Returns
QList<Statistics> The RMS image right ascension sigma statistics.

Definition at line 1088 of file BundleResults.cpp.

References m_rmsImageRASigmas.

Referenced by save().

◆ rmsImageResiduals()

QList< Statistics > Isis::BundleResults::rmsImageResiduals ( ) const

Returns the list of RMS image residuals statistics.

Returns
QList<Statistics> The RMS image residual statistics.

Definition at line 1018 of file BundleResults.cpp.

References m_rmsImageResiduals.

Referenced by Isis::BundleSolutionInfo::outputImagesCSV(), save(), and setRmsImageResidualLists().

◆ rmsImageSampleResiduals()

QList< Statistics > Isis::BundleResults::rmsImageSampleResiduals ( ) const

Returns the list of RMS image sample residuals statistics.

Returns
QList<Statistics> The RMS image sample residual statistics.

Definition at line 998 of file BundleResults.cpp.

References m_rmsImageSampleResiduals.

Referenced by Isis::BundleSolutionInfo::outputImagesCSV(), save(), and setRmsImageResidualLists().

◆ rmsImageTWISTSigmas()

QVector< Statistics > Isis::BundleResults::rmsImageTWISTSigmas ( ) const

Returns the list of RMS image twist sigma statistics.

Returns
QList<Statistics> The RMS image twist sigma statistics.

Definition at line 1108 of file BundleResults.cpp.

References m_rmsImageTWISTSigmas.

Referenced by save().

◆ rmsImageXSigmas()

QVector< Statistics > Isis::BundleResults::rmsImageXSigmas ( ) const

Returns the list of RMS image x sigma statistics.

Returns
QList<Statistics> The RMS image x sigma statistics.

Definition at line 1058 of file BundleResults.cpp.

Referenced by save().

◆ rmsImageYSigmas()

QVector< Statistics > Isis::BundleResults::rmsImageYSigmas ( ) const

Returns the list of RMS image y sigma statistics.

Returns
QList<Statistics> The RMS image y sigma statistics.

Definition at line 1068 of file BundleResults.cpp.

References m_rmsImageYSigmas.

Referenced by save().

◆ rmsImageZSigmas()

QVector< Statistics > Isis::BundleResults::rmsImageZSigmas ( ) const

Returns the list of RMS image z sigma statistics.

Returns
QList<Statistics> The RMS image z sigma statistics.

Definition at line 1078 of file BundleResults.cpp.

References m_rmsImageZSigmas.

Referenced by save().

◆ rmsLidarImageLineResiduals()

QList< Statistics > Isis::BundleResults::rmsLidarImageLineResiduals ( ) const

Returns the list of RMS image lidar line residuals statistics.

Returns
QList<Statistics> The RMS image lidar line residual statistics.

Definition at line 1038 of file BundleResults.cpp.

References m_rmsLidarImageLineResiduals.

Referenced by save(), and setRmsLidarImageResidualLists().

◆ rmsLidarImageResiduals()

QList< Statistics > Isis::BundleResults::rmsLidarImageResiduals ( ) const

Returns the list of RMS image lidar residuals statistics.

Returns
QList<Statistics> The RMS image lidar residual statistics.

Definition at line 1048 of file BundleResults.cpp.

References m_rmsLidarImageResiduals.

Referenced by save(), and setRmsLidarImageResidualLists().

◆ rmsLidarImageSampleResiduals()

QList< Statistics > Isis::BundleResults::rmsLidarImageSampleResiduals ( ) const

Returns the list of RMS image lidar sample residuals statistics.

Returns
QList<Statistics> The RMS image lidar sample residual statistics.

Definition at line 1028 of file BundleResults.cpp.

References m_rmsLidarImageSampleResiduals.

Referenced by save(), and setRmsLidarImageResidualLists().

◆ rmsRx()

double Isis::BundleResults::rmsRx ( ) const

Returns the RMS of the x residuals.

Returns
double The RMS of the x residuals.

Definition at line 1268 of file BundleResults.cpp.

References m_rmsXResiduals.

Referenced by save().

◆ rmsRxy()

double Isis::BundleResults::rmsRxy ( ) const

Returns the RMS of the x and y residuals.

Returns
double The RMS of the x and y residuals.

Definition at line 1288 of file BundleResults.cpp.

References m_rmsXYResiduals.

Referenced by save().

◆ rmsRy()

double Isis::BundleResults::rmsRy ( ) const

Returns the RMS of the y residuals.

Returns
double The RMS of the y residuals.

Definition at line 1278 of file BundleResults.cpp.

References m_rmsYResiduals.

Referenced by save().

◆ save()

void Isis::BundleResults::save ( QXmlStreamWriter & stream,
const Project * project ) const

Saves the BundleResults object to an XML file.

Parameters
streamThe QXMLStreamWriter that will be used to write out the XML file.
projectThe project that the BundleResults object belongs to.

Definition at line 1662 of file BundleResults.cpp.

References converged(), correlationMatrix(), degreesOfFreedom(), elapsedTime(), elapsedTimeErrorProp(), iterations(), Isis::SurfacePoint::Latitudinal, m_maximumLikelihoodFunctions, m_outNet, m_rmsImageDECSigmas, m_rmsImageLineResiduals, m_rmsImageRASigmas, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, m_rmsLidarImageLineResiduals, m_rmsLidarImageResiduals, m_rmsLidarImageSampleResiduals, maximumLikelihoodMedianR2Residuals(), maximumLikelihoodModelIndex(), maxSigmaCoord1Distance(), maxSigmaCoord1PointId(), maxSigmaCoord2Distance(), maxSigmaCoord2PointId(), maxSigmaCoord3Distance(), maxSigmaCoord3PointId(), minSigmaCoord1Distance(), minSigmaCoord1PointId(), minSigmaCoord2Distance(), minSigmaCoord2PointId(), minSigmaCoord3Distance(), minSigmaCoord3PointId(), Isis::MaximumLikelihoodWFunctions::modelToString(), numberConstrainedImageParameters(), numberConstrainedPointParameters(), numberConstrainedTargetParameters(), numberFixedPoints(), numberHeldImages(), numberIgnoredPoints(), numberImageObservations(), numberImageParameters(), numberLidarImageObservations(), numberLidarRangeConstraintEquations(), numberMaximumLikelihoodModels(), numberObservations(), numberRejectedObservations(), numberUnknownParameters(), outputControlNet(), Isis::IException::Programmer, Isis::SurfacePoint::Rectangular, rejectionLimit(), rmsImageDECSigmas(), rmsImageLineResiduals(), rmsImageRASigmas(), rmsImageResiduals(), rmsImageSampleResiduals(), rmsImageTWISTSigmas(), rmsImageXSigmas(), rmsImageYSigmas(), rmsImageZSigmas(), rmsLidarImageLineResiduals(), rmsLidarImageResiduals(), rmsLidarImageSampleResiduals(), rmsRx(), rmsRxy(), rmsRy(), sigma0(), sigmaCoord1StatisticsRms(), sigmaCoord2StatisticsRms(), sigmaCoord3StatisticsRms(), and Isis::toString().

Referenced by Isis::BundleSolutionInfo::save().

◆ setBundleControlPoints()

void Isis::BundleResults::setBundleControlPoints ( QVector< BundleControlPointQsp > controlPoints)

Sets the bundle control point vector.

Parameters
controlPointsThe vector of BundleControlPointQsps.

Definition at line 935 of file BundleResults.cpp.

References m_bundleControlPoints.

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setBundleLidarPoints()

void Isis::BundleResults::setBundleLidarPoints ( QVector< BundleLidarControlPointQsp > lidarPoints)

Sets the bundle lidar point vector.

Parameters
lidarPointsVector of BundleLidarControlPointQsps.

Definition at line 945 of file BundleResults.cpp.

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setConverged()

void Isis::BundleResults::setConverged ( bool converged)

Sets if the bundle adjustment converged.

Parameters
convergedIf the bundle adjustment converged.

Definition at line 925 of file BundleResults.cpp.

References converged().

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setCorrMatCovFileName()

void Isis::BundleResults::setCorrMatCovFileName ( FileName name)

Set the covariance file name for the matrix used to calculate the correlation matrix.

Parameters
nameThe name of the file used to store the covariance matrix.

Definition at line 1627 of file BundleResults.cpp.

References correlationMatrix(), m_correlationMatrix, and Isis::CorrelationMatrix::setCovarianceFileName().

Referenced by Isis::BundleAdjust::errorPropagation().

◆ setCorrMatImgsAndParams()

void Isis::BundleResults::setCorrMatImgsAndParams ( QMap< QString, QStringList > imgsAndParams)

Set the images and their associated parameters of the correlation matrix.

Parameters
imgsAndParamsThe QMap with all the images and parameters used for this bundle.

Definition at line 1638 of file BundleResults.cpp.

References correlationMatrix(), m_correlationMatrix, and Isis::CorrelationMatrix::setImagesAndParameters().

Referenced by Isis::BundleSolutionInfo::outputText().

◆ setDegreesOfFreedom()

void Isis::BundleResults::setDegreesOfFreedom ( double degreesOfFreedom)

Sets the degrees of freedom.

Parameters
degreesOfFreedomThe degrees of freedom.

Definition at line 885 of file BundleResults.cpp.

References degreesOfFreedom(), and m_degreesOfFreedom.

◆ setElapsedTime()

void Isis::BundleResults::setElapsedTime ( double time)

Sets the elapsed time for the bundle adjustment.

Parameters
timeThe elapsed time.

Definition at line 905 of file BundleResults.cpp.

References m_elapsedTime.

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setElapsedTimeErrorProp()

void Isis::BundleResults::setElapsedTimeErrorProp ( double time)

Sets the elapsed time for error propegation.

Parameters
timeThe elapsed time.

Definition at line 915 of file BundleResults.cpp.

References m_elapsedTimeErrorProp.

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setIterations()

void Isis::BundleResults::setIterations ( int iterations)

Sets the number of iterations taken by the BundleAdjust.

Parameters
iterationsThe number of iterations.

Definition at line 975 of file BundleResults.cpp.

References iterations(), and m_iterations.

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setNumberConstrainedLidarPointParameters()

void Isis::BundleResults::setNumberConstrainedLidarPointParameters ( int numberParameters)

Set number of contrained point parameters.

Parameters
numberParametersNumber of contrained point parameters.

Definition at line 751 of file BundleResults.cpp.

References m_numberConstrainedLidarPointParameters.

Referenced by Isis::BundleAdjust::formNormalEquations().

◆ setNumberConstrainedPointParameters()

void Isis::BundleResults::setNumberConstrainedPointParameters ( int numberParameters)

Set number of contrained point parameters.

Parameters
numberParametersNumber of contrained point parameters.

Definition at line 741 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

Referenced by Isis::BundleAdjust::formNormalEquations().

◆ setNumberImageObservations()

void Isis::BundleResults::setNumberImageObservations ( int numberObservations)

Sets the number of photogrammetric image observations.

Note in this terminology an image measurement contributes two observations to the adjustment (i.e. sample/line).

So, the number of observations divided by 2 should equal the number of image measures.

Parameters
numberObservationsThe number of photogrammetric image observations.

Definition at line 711 of file BundleResults.cpp.

References m_numberImageObservations, and numberObservations().

Referenced by Isis::BundleAdjust::formNormalEquations().

◆ setNumberImageParameters()

void Isis::BundleResults::setNumberImageParameters ( int numberParameters)

Sets the number of image parameters.

Parameters
numberParametersThe number of image parameters.

Definition at line 731 of file BundleResults.cpp.

References m_numberImageParameters.

◆ setNumberLidarImageObservations()

void Isis::BundleResults::setNumberLidarImageObservations ( int numberLidarObservations)

Sets the number of lidar observations.

Parameters
numberLidarObservationsThe number of lidar observations.

Definition at line 721 of file BundleResults.cpp.

References m_numberLidarImageObservations.

Referenced by Isis::BundleAdjust::formNormalEquations().

◆ setNumberLidarRangeConstraints()

void Isis::BundleResults::setNumberLidarRangeConstraints ( int numberLidarRangeConstraints)

Sets the total number of lidar range constraints.

Parameters
numberLidarRangeConstraintsThe total number of lidar range constraints.

Definition at line 825 of file BundleResults.cpp.

References m_numberLidarRangeConstraintEquations.

Referenced by Isis::BundleAdjust::formNormalEquations().

◆ setNumberObservations()

void Isis::BundleResults::setNumberObservations ( int numberObservations)

Sets the number of observations.

Parameters
numberObservationsThe number of observations.

Definition at line 698 of file BundleResults.cpp.

References m_numberObservations, and numberObservations().

◆ setNumberRejectedObservations()

void Isis::BundleResults::setNumberRejectedObservations ( int numberRejectedObservations)

Sets the number of rejected observations.

Parameters
numberRejectedObservationsThe number of rejected observations.

Definition at line 688 of file BundleResults.cpp.

References m_numberRejectedObservations, and numberRejectedObservations().

Referenced by Isis::BundleAdjust::flagOutliers().

◆ setNumberUnknownParameters()

void Isis::BundleResults::setNumberUnknownParameters ( int numberParameters)

Sets the total number of parameters to solve for.

Parameters
numberParametersThe number of parameters to solve for.

Definition at line 815 of file BundleResults.cpp.

References m_numberUnknownParameters.

Referenced by Isis::BundleAdjust::formNormalEquations(), and Isis::BundleAdjust::init().

◆ setObservations()

void Isis::BundleResults::setObservations ( BundleObservationVector observations)

Sets the vector of BundleObservations.

Parameters
observationsThe vector of BundleObservations.

Definition at line 985 of file BundleResults.cpp.

References m_observations, and observations().

Referenced by Isis::BundleAdjust::solveCholesky().

◆ setOutputControlNet()

◆ setOutputLidarData()

void Isis::BundleResults::setOutputLidarData ( LidarDataQsp outLidarData)

Sets the output LidarData object.

Parameters
outLidarDataA QSharedPointer to the output LidarData object.

Definition at line 965 of file BundleResults.cpp.

References m_outLidarData.

Referenced by Isis::BundleAdjust::BundleAdjust().

◆ setRejectionLimit()

void Isis::BundleResults::setRejectionLimit ( double rejectionLimit)

Sets the rejection limit.

Parameters
rejectionLimitThe rejection limit.

Definition at line 678 of file BundleResults.cpp.

References m_rejectionLimit, and rejectionLimit().

Referenced by Isis::BundleAdjust::computeRejectionLimit().

◆ setRmsFromSigmaStatistics()

void Isis::BundleResults::setRmsFromSigmaStatistics ( double rmsFromSigmaCoord1Stats,
double rmsFromSigmaCoord2Stats,
double rmsFromSigmaCoord3Stats )

Sets the root mean square values of the adjusted sigmas for all three coordinates.

Parameters
rmsFromSigmaCoord1StatsThe new RMS value of the adjusted coord1 sigmas.
rmsFromSigmaCoord2StatsThe new RMS value of the adjusted coord2 sigmas.
rmsFromSigmaCoord3StatsThe new RMS value of the adjusted coord3 sigmas.

Definition at line 475 of file BundleResults.cpp.

References m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, and m_rmsSigmaCoord3Stats.

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ setRmsImageResidualLists()

void Isis::BundleResults::setRmsImageResidualLists ( QList< Statistics > rmsImageLineResiduals,
QList< Statistics > rmsImageSampleResiduals,
QList< Statistics > rmsImageResiduals )

Sets the root mean square image residual Statistics lists.

Parameters
rmsImageLineResidualsThe new image line residuals list.
rmsImageSampleResidualsThe new image sample residuals list.
rmsImageResidualsThe new image residuals list.

Definition at line 392 of file BundleResults.cpp.

References m_rmsImageLineResiduals, m_rmsImageResiduals, m_rmsImageSampleResiduals, rmsImageLineResiduals(), rmsImageResiduals(), and rmsImageSampleResiduals().

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ setRmsLidarImageResidualLists()

void Isis::BundleResults::setRmsLidarImageResidualLists ( QList< Statistics > rmsLidarImageLineResiduals,
QList< Statistics > rmsLidarImageSampleResiduals,
QList< Statistics > rmsLidarImageResiduals )

Sets the root mean square lidar image residual Statistics lists.

Parameters
rmsLidarImageLineResidualsThe new image line residuals list.
rmsLidarImageSampleResidualsThe new image sample residuals list.
rmsLidarImageResidualsThe new image residuals list.

Definition at line 408 of file BundleResults.cpp.

References m_rmsLidarImageLineResiduals, m_rmsLidarImageResiduals, m_rmsLidarImageSampleResiduals, rmsLidarImageLineResiduals(), rmsLidarImageResiduals(), and rmsLidarImageSampleResiduals().

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ setRmsXYResiduals()

void Isis::BundleResults::setRmsXYResiduals ( double rx,
double ry,
double rxy )

Sets the root mean square of the x and y residuals.

Parameters
rxThe RMS value of the x residuals.
ryThe RMS value of the y residuals.
rxyThe RMS value of both the x and y residuals.

Definition at line 666 of file BundleResults.cpp.

References m_rmsXResiduals, m_rmsXYResiduals, and m_rmsYResiduals.

Referenced by Isis::BundleAdjust::computeVtpv().

◆ setSigma0()

void Isis::BundleResults::setSigma0 ( double sigma0)

Sets the sigma0.

Parameters
sigma0The sigma0.

Definition at line 895 of file BundleResults.cpp.

References m_sigma0, and sigma0().

◆ setSigmaCoord1Range()

void Isis::BundleResults::setSigmaCoord1Range ( Distance minCoord1Dist,
Distance maxCoord1Dist,
QString minCoord1PointId,
QString maxCoord1PointId )

Sets the min and max sigma distances and point ids for coordinate 1.

Parameters
minLatDistThe new minimum sigma latitude distance.
maxLatDistThe new maximum sigma latitude distance.
minLatPointIdThe new minimum sigma latitude point id.
maxLatPointIdThe new maximum sigma latitude point id.

Definition at line 425 of file BundleResults.cpp.

References m_maxSigmaCoord1Distance, m_maxSigmaCoord1PointId, m_minSigmaCoord1Distance, and m_minSigmaCoord1PointId.

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ setSigmaCoord2Range()

void Isis::BundleResults::setSigmaCoord2Range ( Distance minCoord2Dist,
Distance maxCoord2Dist,
QString minCoord2PointId,
QString maxCoord2PointId )

Sets the min and max sigma distances and point ids for coordinate 2.

Parameters
minLonDistThe new minimum sigma longitude distance.
maxLonDistThe new maximum sigma longitude distance.
minLonPointIdThe new minimum sigma longitude point id.
maxLonPointIdThe new maximum sigma longitude point id.

Definition at line 442 of file BundleResults.cpp.

References m_maxSigmaCoord2Distance, m_maxSigmaCoord2PointId, m_minSigmaCoord2Distance, and m_minSigmaCoord2PointId.

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ setSigmaCoord3Range()

void Isis::BundleResults::setSigmaCoord3Range ( Distance minCoord3Dist,
Distance maxCoord3Dist,
QString minCoord3PointId,
QString maxCoord3PointId )

Sets the min and max sigma distances and point ids for coordinate 3.

Parameters
minRadDistThe new minimum sigma radius distance.
maxRadDistThe new maximum sigma radius distance.
minRadPointIdThe new minimum sigma radius point id.
maxRadPointIdThe new maximum sigma radius point id.

Definition at line 459 of file BundleResults.cpp.

References m_maxSigmaCoord3Distance, m_maxSigmaCoord3PointId, m_minSigmaCoord3Distance, and m_minSigmaCoord3PointId.

Referenced by Isis::BundleAdjust::computeBundleStatistics().

◆ sigma0()

double Isis::BundleResults::sigma0 ( ) const

Returns the Sigma0 of the bundle adjustment.

Returns
double The Sigma0.

Definition at line 1418 of file BundleResults.cpp.

References m_sigma0.

Referenced by Isis::BundleAdjust::errorPropagation(), Isis::BundleAdjust::iterationSummary(), Isis::BundleSolutionInfo::outputHeader(), save(), setSigma0(), and Isis::BundleAdjust::solveCholesky().

◆ sigmaCoord1StatisticsRms()

double Isis::BundleResults::sigmaCoord1StatisticsRms ( ) const

Returns the RMS of the adjusted sigmas for coordinate 1.

Returns
double The RMS of the adjusted Coord1 sigmas.

Definition at line 1238 of file BundleResults.cpp.

References m_rmsSigmaCoord1Stats.

Referenced by Isis::JigsawRunWidget::notifyThreadFinished(), Isis::BundleSolutionInfo::outputText(), and save().

◆ sigmaCoord2StatisticsRms()

double Isis::BundleResults::sigmaCoord2StatisticsRms ( ) const

Returns the RMS of the adjusted sigmas for coordinate 2.

Returns
double The RMS of the adjusted Coord2 sigmas.

Definition at line 1248 of file BundleResults.cpp.

References m_rmsSigmaCoord2Stats.

Referenced by Isis::JigsawRunWidget::notifyThreadFinished(), Isis::BundleSolutionInfo::outputText(), and save().

◆ sigmaCoord3StatisticsRms()

double Isis::BundleResults::sigmaCoord3StatisticsRms ( ) const

Returns the RMS of the adjusted sigmas for coordinate 3.

Returns
double The RMS of the adjusted Coord3 sigmas.

Definition at line 1258 of file BundleResults.cpp.

References m_rmsSigmaCoord3Stats.

Referenced by Isis::JigsawRunWidget::notifyThreadFinished(), Isis::BundleSolutionInfo::outputText(), and save().

Member Data Documentation

◆ m_bundleControlPoints

QVector<BundleControlPointQsp> Isis::BundleResults::m_bundleControlPoints
private

The vector of BundleControlPoints from BundleAdjust.

Equivalent to the output control net minus ignored points and measures. The contained points and members hold pointers to the points and measures in the output control net.

Definition at line 347 of file BundleResults.h.

Referenced by bundleControlPoints(), operator=(), and setBundleControlPoints().

◆ m_bundleLidarPoints

QVector<BundleLidarControlPointQsp> Isis::BundleResults::m_bundleLidarPoints
private

Definition at line 356 of file BundleResults.h.

◆ m_converged

bool Isis::BundleResults::m_converged
private

Definition at line 343 of file BundleResults.h.

◆ m_correlationMatrix

CorrelationMatrix* Isis::BundleResults::m_correlationMatrix
private

◆ m_cumPro

StatCumProbDistDynCalc* Isis::BundleResults::m_cumPro
private

This class will be used to calculate the cumulative probability distribution of |R^2 residuals|, quantiles of this distribution are used to adjust the maximum likelihood functions dynamically iteration by iteration.

Definition at line 437 of file BundleResults.h.

Referenced by addProbabilityDistributionObservation(), BundleResults(), cumulativeProbabilityDistribution(), initialize(), initializeProbabilityDistribution(), maximumLikelihoodSetUp(), operator=(), printMaximumLikelihoodTierInformation(), and ~BundleResults().

◆ m_cumProRes

StatCumProbDistDynCalc* Isis::BundleResults::m_cumProRes
private

This class keeps track of the cumulative probability distribution of residuals (in unweighted pixels), this is used for reporting, and not for computation.

Definition at line 442 of file BundleResults.h.

Referenced by addResidualsProbabilityDistributionObservation(), BundleResults(), initialize(), initializeResidualsProbabilityDistribution(), maximumLikelihoodSetUp(), operator=(), residualsCumulativeProbabilityDistribution(), and ~BundleResults().

◆ m_degreesOfFreedom

int Isis::BundleResults::m_degreesOfFreedom
private

degrees of freedom

Definition at line 339 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), computeSigma0(), degreesOfFreedom(), initialize(), operator=(), and setDegreesOfFreedom().

◆ m_elapsedTime

double Isis::BundleResults::m_elapsedTime
private

elapsed time for bundle

Definition at line 341 of file BundleResults.h.

Referenced by elapsedTime(), initialize(), operator=(), and setElapsedTime().

◆ m_elapsedTimeErrorProp

double Isis::BundleResults::m_elapsedTimeErrorProp
private

elapsed time for error propagation

Definition at line 342 of file BundleResults.h.

Referenced by elapsedTimeErrorProp(), initialize(), operator=(), and setElapsedTimeErrorProp().

◆ m_iterations

int Isis::BundleResults::m_iterations
private

The number of iterations taken by BundleAdjust.

Definition at line 361 of file BundleResults.h.

Referenced by initialize(), iterations(), operator=(), and setIterations().

◆ m_maximumLikelihoodFunctions

QList< QPair< MaximumLikelihoodWFunctions, double > > Isis::BundleResults::m_maximumLikelihoodFunctions
private

< The maximum likelihood models and their quantiles.

The number of maximum likelihood estimation models. Up to three different models can be used in succession. This class is used to reweight observations in order to achieve more robust parameter estimation, up to three different maximum likelihood estimation models can be used in succession. Quantiles of the |residual| distribution to be used for tweaking constants of the maximum probability models.

Definition at line 421 of file BundleResults.h.

Referenced by initialize(), maximumLikelihoodModelQuantile(), maximumLikelihoodModelWFunc(), maximumLikelihoodSetUp(), numberMaximumLikelihoodModels(), operator=(), printMaximumLikelihoodTierInformation(), and save().

◆ m_maximumLikelihoodIndex

int Isis::BundleResults::m_maximumLikelihoodIndex
private

This count keeps track of which stage of the maximum likelihood adjustment the bundle is currently on.

Definition at line 434 of file BundleResults.h.

Referenced by incrementMaximumLikelihoodModelIndex(), initialize(), maximumLikelihoodModelIndex(), maximumLikelihoodSetUp(), operator=(), and printMaximumLikelihoodTierInformation().

◆ m_maximumLikelihoodMedianR2Residuals

double Isis::BundleResults::m_maximumLikelihoodMedianR2Residuals
private

◆ m_maxSigmaCoord1Distance

Distance Isis::BundleResults::m_maxSigmaCoord1Distance
private

The maximum sigma latitude distance.

Definition at line 399 of file BundleResults.h.

Referenced by initialize(), maxSigmaCoord1Distance(), operator=(), and setSigmaCoord1Range().

◆ m_maxSigmaCoord1PointId

QString Isis::BundleResults::m_maxSigmaCoord1PointId
private

The maximum sigma coordinate 1 point id.

Definition at line 406 of file BundleResults.h.

Referenced by initialize(), maxSigmaCoord1PointId(), operator=(), and setSigmaCoord1Range().

◆ m_maxSigmaCoord2Distance

Distance Isis::BundleResults::m_maxSigmaCoord2Distance
private

The maximum sigma longitude distance.

Definition at line 401 of file BundleResults.h.

Referenced by initialize(), maxSigmaCoord2Distance(), operator=(), and setSigmaCoord2Range().

◆ m_maxSigmaCoord2PointId

QString Isis::BundleResults::m_maxSigmaCoord2PointId
private

The maximum sigma coordinate2 point id.

Definition at line 408 of file BundleResults.h.

Referenced by initialize(), maxSigmaCoord2PointId(), operator=(), and setSigmaCoord2Range().

◆ m_maxSigmaCoord3Distance

Distance Isis::BundleResults::m_maxSigmaCoord3Distance
private

The maximum sigma radius distance.

Definition at line 403 of file BundleResults.h.

Referenced by initialize(), maxSigmaCoord3Distance(), operator=(), and setSigmaCoord3Range().

◆ m_maxSigmaCoord3PointId

QString Isis::BundleResults::m_maxSigmaCoord3PointId
private

The maximum sigma coordinate 3 point id.

Definition at line 410 of file BundleResults.h.

Referenced by initialize(), maxSigmaCoord3PointId(), operator=(), and setSigmaCoord3Range().

◆ m_minSigmaCoord1Distance

Distance Isis::BundleResults::m_minSigmaCoord1Distance
private

The minimum sigma latitude distance.

Definition at line 398 of file BundleResults.h.

Referenced by initialize(), minSigmaCoord1Distance(), operator=(), and setSigmaCoord1Range().

◆ m_minSigmaCoord1PointId

QString Isis::BundleResults::m_minSigmaCoord1PointId
private

The minimum sigma coordinate 1 point id.

Definition at line 405 of file BundleResults.h.

Referenced by initialize(), minSigmaCoord1PointId(), operator=(), and setSigmaCoord1Range().

◆ m_minSigmaCoord2Distance

Distance Isis::BundleResults::m_minSigmaCoord2Distance
private

The minimum sigma longitude distance.

Definition at line 400 of file BundleResults.h.

Referenced by initialize(), minSigmaCoord2Distance(), operator=(), and setSigmaCoord2Range().

◆ m_minSigmaCoord2PointId

QString Isis::BundleResults::m_minSigmaCoord2PointId
private

The minimum sigma coordinate 2 point id.

Definition at line 407 of file BundleResults.h.

Referenced by initialize(), minSigmaCoord2PointId(), operator=(), and setSigmaCoord2Range().

◆ m_minSigmaCoord3Distance

Distance Isis::BundleResults::m_minSigmaCoord3Distance
private

The minimum sigma radius distance.

Definition at line 402 of file BundleResults.h.

Referenced by initialize(), minSigmaCoord3Distance(), operator=(), and setSigmaCoord3Range().

◆ m_minSigmaCoord3PointId

QString Isis::BundleResults::m_minSigmaCoord3PointId
private

The minimum sigma coordinate 3 point id.

Definition at line 409 of file BundleResults.h.

Referenced by initialize(), minSigmaCoord3PointId(), operator=(), and setSigmaCoord3Range().

◆ m_numberConstrainedImageParameters

int Isis::BundleResults::m_numberConstrainedImageParameters
private

◆ m_numberConstrainedLidarPointParameters

int Isis::BundleResults::m_numberConstrainedLidarPointParameters
private

◆ m_numberConstrainedPointParameters

int Isis::BundleResults::m_numberConstrainedPointParameters
private

◆ m_numberConstrainedTargetParameters

int Isis::BundleResults::m_numberConstrainedTargetParameters
private

◆ m_numberFixedPoints

int Isis::BundleResults::m_numberFixedPoints
private

number of 'fixed' (ground) points (define)

Definition at line 316 of file BundleResults.h.

Referenced by incrementFixedPoints(), initialize(), numberFixedPoints(), and operator=().

◆ m_numberHeldImages

int Isis::BundleResults::m_numberHeldImages
private

number of 'held' images (define)

Definition at line 319 of file BundleResults.h.

Referenced by incrementHeldImages(), initialize(), numberHeldImages(), and operator=().

◆ m_numberIgnoredPoints

int Isis::BundleResults::m_numberIgnoredPoints
private

number of ignored points

Definition at line 318 of file BundleResults.h.

Referenced by incrementIgnoredPoints(), initialize(), numberIgnoredPoints(), and operator=().

◆ m_numberImageObservations

int Isis::BundleResults::m_numberImageObservations
private

photogrammetry image coords. (2 per measure)

Definition at line 329 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), initialize(), numberImageObservations(), numberObservations(), operator=(), and setNumberImageObservations().

◆ m_numberImageParameters

int Isis::BundleResults::m_numberImageParameters
private

number of image parameters

Definition at line 334 of file BundleResults.h.

Referenced by initialize(), numberImageParameters(), operator=(), and setNumberImageParameters().

◆ m_numberLidarImageObservations

int Isis::BundleResults::m_numberLidarImageObservations
private

◆ m_numberLidarRangeConstraintEquations

int Isis::BundleResults::m_numberLidarRangeConstraintEquations
private

lidar range constraint equations

Definition at line 332 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), initialize(), numberLidarRangeConstraintEquations(), operator=(), and setNumberLidarRangeConstraints().

◆ m_numberObservations

int Isis::BundleResults::m_numberObservations
private

number of image coordinate observations

Definition at line 328 of file BundleResults.h.

Referenced by initialize(), operator=(), and setNumberObservations().

◆ m_numberRejectedObservations

int Isis::BundleResults::m_numberRejectedObservations
private

number of rejected image coordinate observations

Definition at line 331 of file BundleResults.h.

Referenced by initialize(), numberRejectedObservations(), operator=(), and setNumberRejectedObservations().

◆ m_numberUnknownParameters

int Isis::BundleResults::m_numberUnknownParameters
private

total number of parameters to solve for

Definition at line 333 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), initialize(), numberUnknownParameters(), operator=(), and setNumberUnknownParameters().

◆ m_observations

BundleObservationVector Isis::BundleResults::m_observations
private

The vector of BundleObservations from BundleAdjust.

Definition at line 363 of file BundleResults.h.

Referenced by initialize(), observations(), operator=(), and setObservations().

◆ m_outLidarData

LidarDataQsp Isis::BundleResults::m_outLidarData
private

Output lidar data from BundleAdjust.

Definition at line 359 of file BundleResults.h.

Referenced by initialize(), operator=(), outputLidarData(), and setOutputLidarData().

◆ m_outNet

ControlNetQsp Isis::BundleResults::m_outNet
private

The output control net from BundleAdjust.

Definition at line 357 of file BundleResults.h.

Referenced by initialize(), operator=(), outputControlNet(), save(), and setOutputControlNet().

◆ m_rejectionLimit

double Isis::BundleResults::m_rejectionLimit
private

current rejection limit

Definition at line 326 of file BundleResults.h.

Referenced by initialize(), operator=(), rejectionLimit(), and setRejectionLimit().

◆ m_rmsImageDECSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageDECSigmas
private

< The root mean square image declination sigmas.

Definition at line 394 of file BundleResults.h.

Referenced by initialize(), operator=(), resizeSigmaStatisticsVectors(), rmsImageDECSigmas(), and save().

◆ m_rmsImageLineResiduals

QList<Statistics> Isis::BundleResults::m_rmsImageLineResiduals
private

List of RMS image line residual statistics for each image in the bundle

Definition at line 373 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsImageLineResiduals(), save(), and setRmsImageResidualLists().

◆ m_rmsImageRASigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageRASigmas
private

< The root mean square image right ascension sigmas.

Definition at line 392 of file BundleResults.h.

Referenced by initialize(), operator=(), resizeSigmaStatisticsVectors(), rmsImageRASigmas(), and save().

◆ m_rmsImageResiduals

QList<Statistics> Isis::BundleResults::m_rmsImageResiduals
private

RMS image sample and line residual statistics for each image in the bundle

Definition at line 375 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsImageResiduals(), save(), and setRmsImageResidualLists().

◆ m_rmsImageSampleResiduals

QList<Statistics> Isis::BundleResults::m_rmsImageSampleResiduals
private

List of RMS image sample residual statistics for each image in the bundle

Definition at line 371 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsImageSampleResiduals(), save(), and setRmsImageResidualLists().

◆ m_rmsImageTWISTSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageTWISTSigmas
private

< The root mean square image twist sigmas.

Definition at line 396 of file BundleResults.h.

Referenced by initialize(), operator=(), resizeSigmaStatisticsVectors(), rmsImageTWISTSigmas(), and save().

◆ m_rmsImageXSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageXSigmas
private

Definition at line 386 of file BundleResults.h.

◆ m_rmsImageYSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageYSigmas
private

< The root mean square image y sigmas.

Definition at line 388 of file BundleResults.h.

Referenced by initialize(), operator=(), resizeSigmaStatisticsVectors(), rmsImageYSigmas(), and save().

◆ m_rmsImageZSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageZSigmas
private

< The root mean square image z sigmas.

Definition at line 390 of file BundleResults.h.

Referenced by initialize(), operator=(), resizeSigmaStatisticsVectors(), rmsImageZSigmas(), and save().

◆ m_rmsLidarImageLineResiduals

QList<Statistics> Isis::BundleResults::m_rmsLidarImageLineResiduals
private

List of RMS lidar line residual stats for each image in the bundle

Definition at line 380 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsLidarImageLineResiduals(), save(), and setRmsLidarImageResidualLists().

◆ m_rmsLidarImageResiduals

QList<Statistics> Isis::BundleResults::m_rmsLidarImageResiduals
private

RMS image lidar sample & line residual stats for each image in the bundle

The root mean square image x sigmas.

Definition at line 382 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsLidarImageResiduals(), save(), and setRmsLidarImageResidualLists().

◆ m_rmsLidarImageSampleResiduals

QList<Statistics> Isis::BundleResults::m_rmsLidarImageSampleResiduals
private

List of RMS lidar sample residual stats for each image in the bundle

Definition at line 378 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsLidarImageSampleResiduals(), save(), and setRmsLidarImageResidualLists().

◆ m_rmsSigmaCoord1Stats

double Isis::BundleResults::m_rmsSigmaCoord1Stats
private

rms of adjusted Latitude sigmas

Definition at line 412 of file BundleResults.h.

Referenced by initialize(), operator=(), setRmsFromSigmaStatistics(), and sigmaCoord1StatisticsRms().

◆ m_rmsSigmaCoord2Stats

double Isis::BundleResults::m_rmsSigmaCoord2Stats
private

rms of adjusted Longitude sigmas

Definition at line 413 of file BundleResults.h.

Referenced by initialize(), operator=(), setRmsFromSigmaStatistics(), and sigmaCoord2StatisticsRms().

◆ m_rmsSigmaCoord3Stats

double Isis::BundleResults::m_rmsSigmaCoord3Stats
private

rms of adjusted Radius sigmas

Definition at line 414 of file BundleResults.h.

Referenced by initialize(), operator=(), setRmsFromSigmaStatistics(), and sigmaCoord3StatisticsRms().

◆ m_rmsXResiduals

double Isis::BundleResults::m_rmsXResiduals
private

rms of x residuals

Definition at line 322 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsRx(), and setRmsXYResiduals().

◆ m_rmsXYResiduals

double Isis::BundleResults::m_rmsXYResiduals
private

rms of all x and y residuals

Definition at line 324 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsRxy(), and setRmsXYResiduals().

◆ m_rmsYResiduals

double Isis::BundleResults::m_rmsYResiduals
private

rms of y residuals

Definition at line 323 of file BundleResults.h.

Referenced by initialize(), operator=(), rmsRy(), and setRmsXYResiduals().

◆ m_sigma0

double Isis::BundleResults::m_sigma0
private

std deviation of unit weight

Definition at line 340 of file BundleResults.h.

Referenced by computeSigma0(), initialize(), operator=(), setSigma0(), and sigma0().


The documentation for this class was generated from the following files: