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

#include <BundleResults.h>

Inheritance diagram for Isis::BundleResults:

Collaboration diagram for Isis::BundleResults:

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. More...

	BundleResults (Project project, XmlStackedHandlerReader xmlReader, QObject *parent=0)
	Construct this BundleResults object from XML. More...

	BundleResults (const BundleResults &src)
	Copy constructor for BundleResults. More...

	~BundleResults ()
	Destroys this BundleResults object. More...

BundleResults &	operator= (const BundleResults &src)
	Assignment operator for BundleResults. More...

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. More...

void	resizeSigmaStatisticsVectors (int numberImages)
	Resizes all image sigma vectors. More...

void	setRmsImageResidualLists (QList< Statistics > rmsImageLineResiduals, QList< Statistics > rmsImageSampleResiduals, QList< Statistics > rmsImageResiduals)
	Sets the root mean square image residual Statistics lists. More...

void	setRmsImageResidualLists (QVector< Statistics > rmsImageLineResiduals, QVector< Statistics > rmsImageSampleResiduals, QVector< Statistics > rmsImageResiduals)

void	setSigmaCoord1Range (Distance minCoord1Dist, Distance maxCoord1Dist, QString minCoord1PointId, QString maxCoord1PointId)
	Sets the min and max sigma distances and point ids for coordinate 1. More...

void	setSigmaCoord2Range (Distance minCoord2Dist, Distance maxCoord2Dist, QString minCoord2PointId, QString maxCoord2PointId)
	Sets the min and max sigma distances and point ids for coordinate 2. More...

void	setSigmaCoord3Range (Distance minCoord3Dist, Distance maxCoord3Dist, QString minCoord3PointId, QString maxCoord3PointId)
	Sets the min and max sigma distances and point ids for coordinate 3. More...

void	setRmsFromSigmaStatistics (double rmsFromSigmaCoord1Stats, double rmsFromSigmaCoord2Stats, double rmsFromSigmaCoord3Stats)
	Sets the root mean square values of the adjusted sigmas for all three coordinates. More...

void	maximumLikelihoodSetUp (QList< QPair< MaximumLikelihoodWFunctions::Model, double > > modelsWithQuantiles)
	This method steps up the maximum likelihood estimation solution. More...

void	printMaximumLikelihoodTierInformation ()
	Prints out information about which tier the solution is in and the status of the residuals. More...

void	initializeResidualsProbabilityDistribution (unsigned int nodes=20)
	Initializes or resets the cumulative probability distribution of residuals used for reporting. More...

void	initializeProbabilityDistribution (unsigned int nodes=20)
	Initializes or resets the cumulative probability distribution of \|R^2 residuals\|. More...

void	addResidualsProbabilityDistributionObservation (double obsValue)
	Adds an observation to the cumulative probability distribution of residuals used for reporting. More...

void	addProbabilityDistributionObservation (double obsValue)
	Adds an observation to the cumulative probability distribution of \|R^2 residuals\|. More...

void	addProbabilityDistributionObservation (double obsValue, bool residuals)

void	incrementMaximumLikelihoodModelIndex ()
	Increases the value that indicates which stage the maximum likelihood adjustment is currently on. More...

void	incrementFixedPoints ()
	Increase the number of 'fixed' (ground) points. More...

int	numberFixedPoints () const
	Returns the number of 'fixed' (ground) points. More...

void	incrementHeldImages ()
	Increases the number of 'held' images. More...

int	numberHeldImages () const
	Returns the number of 'held' images. More...

void	incrementIgnoredPoints ()
	Increase the number of ignored points. More...

int	numberIgnoredPoints () const
	Returns the number of ignored points. More...

void	setRejectionLimit (double rejectionLimit)
	Sets the rejection limit. More...

void	setRmsXYResiduals (double rx, double ry, double rxy)
	Sets the root mean square of the x and y residuals. More...

void	setNumberRejectedObservations (int numberObservations)
	Sets the number of rejected observations. More...

void	setNumberObservations (int numberObservations)
	Sets the number of observations. More...

void	setNumberImageParameters (int numberParameters)
	Sets the number of image parameters. More...

void	resetNumberConstrainedPointParameters ()
	Resets the number of contrained point parameters to 0. More...

void	incrementNumberConstrainedPointParameters (int incrementAmount)
	Increase the number of contrained point parameters. More...

void	resetNumberConstrainedImageParameters ()
	Resets the number of constrained image parameters to 0. More...

void	incrementNumberConstrainedImageParameters (int incrementAmount)
	Increase the number of constrained image parameters. More...

void	resetNumberConstrainedTargetParameters ()
	Resets the number of constrained target parameters to 0. More...

void	incrementNumberConstrainedTargetParameters (int incrementAmount)
	Increases the number of constrained target parameters. More...

void	setNumberUnknownParameters (int numberParameters)
	Sets the total number of parameters to solve for. More...

void	computeDegreesOfFreedom ()
	Computes the degrees of freedom of the bundle adjustment and stores it internally. More...

void	computeSigma0 (double dvtpv, BundleSettings::ConvergenceCriteria criteria)
	Computes the sigma0 and stores it internally. More...

void	setDegreesOfFreedom (double degreesOfFreedom)
	Sets the degrees of freedom. More...

void	setSigma0 (double sigma0)
	Sets the sigma0. More...

void	setElapsedTime (double time)
	Sets the elapsed time for the bundle adjustment. More...

void	setElapsedTimeErrorProp (double time)
	Sets the elapsed time for error propegation. More...

void	setConverged (bool converged)
	Sets if the bundle adjustment converged. More...

void	setBundleControlPoints (QVector< BundleControlPointQsp > controlPoints)
	Sets the bundle control point vector. More...

void	setOutputControlNet (ControlNetQsp outNet)
	Sets the output ControlNet. More...

void	setIterations (int iterations)
	Sets the number of iterations taken by the BundleAdjust. More...

void	setObservations (BundleObservationVector observations)
	Sets the vector of BundleObservations. More...

QList< Statistics >	rmsImageSampleResiduals () const
	Returns the list of RMS image sample residuals statistics. More...

QList< Statistics >	rmsImageLineResiduals () const
	Returns the list of RMS image line residuals statistics. More...

QList< Statistics >	rmsImageResiduals () const
	Returns the list of RMS image residuals statistics. More...

QVector< Statistics >	rmsImageXSigmas () const
	Returns the list of RMS image x sigma statistics. More...

QVector< Statistics >	rmsImageYSigmas () const
	Returns the list of RMS image y sigma statistics. More...

QVector< Statistics >	rmsImageZSigmas () const
	Returns the list of RMS image z sigma statistics. More...

QVector< Statistics >	rmsImageRASigmas () const
	Returns the list of RMS image right ascension sigma statistics. More...

QVector< Statistics >	rmsImageDECSigmas () const
	Returns the list of RMS image declination sigma statistics. More...

QVector< Statistics >	rmsImageTWISTSigmas () const
	Returns the list of RMS image twist sigma statistics. More...

SurfacePoint::CoordinateType	coordTypeReports ()

Distance	minSigmaCoord1Distance () const
	Returns the minimum sigma distance for coordinate 1. More...

Distance	maxSigmaCoord1Distance () const
	Returns the maximum sigma distance for coordinate 1. More...

Distance	minSigmaCoord2Distance () const
	Returns the minimum sigma distance for coordinate 2. More...

Distance	maxSigmaCoord2Distance () const
	Returns the maximum sigma distance for coordinate 2. More...

Distance	minSigmaCoord3Distance () const
	Returns the minimum sigma distance for coordinate 3. More...

Distance	maxSigmaCoord3Distance () const
	Returns the maximum sigma distance for coordinate 3. More...

QString	maxSigmaCoord1PointId () const
	Returns the maximum sigma point id for coordinate 1. More...

QString	minSigmaCoord1PointId () const
	Returns the minimum sigma point id for coordinate 1. More...

QString	minSigmaCoord2PointId () const
	Returns the minimum sigma point id for coordinate 2. More...

QString	maxSigmaCoord2PointId () const
	Returns the maximum sigma point id for coordinate 2. More...

QString	minSigmaCoord3PointId () const
	Returns the minimum sigma point id for coordinate 3. More...

QString	maxSigmaCoord3PointId () const
	Returns the maximum sigma point id for coordinate 3. More...

double	sigmaCoord1StatisticsRms () const
	Returns the RMS of the adjusted sigmas for coordinate 1. More...

double	sigmaCoord2StatisticsRms () const
	Returns the RMS of the adjusted sigmas for coordinate 2. More...

double	sigmaCoord3StatisticsRms () const
	Returns the RMS of the adjusted sigmas for coordinate 3. More...

double	rmsRx () const
	Returns the RMS of the x residuals. More...

double	rmsRy () const
	Returns the RMS of the y residuals. More...

double	rmsRxy () const
	Returns the RMS of the x and y residuals. More...

double	rejectionLimit () const
	Returns the rejection limit. More...

int	numberRejectedObservations () const
	Returns the number of observation that were rejected. More...

int	numberObservations () const
	Returns the number of observations. More...

int	numberImageParameters () const
	Returns the total number of image parameters. More...

int	numberConstrainedPointParameters () const
	Returns the number of constrained point parameters. More...

int	numberConstrainedImageParameters () const
	Returns the number of constrained image parameters. More...

int	numberConstrainedTargetParameters () const
	Return the number of constrained target parameters. More...

int	numberUnknownParameters () const
	Returns the number of unknown parameters. More...

int	degreesOfFreedom () const
	Returns the degrees of freedom. More...

double	sigma0 () const
	Returns the Sigma0 of the bundle adjustment. More...

double	elapsedTime () const
	Returns the elapsed time for the bundle adjustment. More...

double	elapsedTimeErrorProp () const
	Returns the elapsed time for error propagation. More...

bool	converged () const
	Returns whether or not the bundle adjustment converged. More...

QVector< BundleControlPointQsp > &	bundleControlPoints ()
	Returns a reference to the BundleControlPoint vector. More...

ControlNetQsp	outputControlNet () const
	Returns a shared pointer to the output control network. More...

int	iterations () const
	Returns the number of iterations taken by the BundleAdjust. More...

const BundleObservationVector &	observations () const
	Returns a reference to the observations used by the BundleAdjust. More...

int	numberMaximumLikelihoodModels () const
	Returns how many maximum likelihood models were used in the bundle adjustment. More...

int	maximumLikelihoodModelIndex () const
	Returns which step the bundle adjustment is on. More...

StatCumProbDistDynCalc	cumulativeProbabilityDistribution () const
	Returns the cumulative probability distribution of the \|R^2 residuals\|. More...

StatCumProbDistDynCalc	residualsCumulativeProbabilityDistribution () const
	Returns the cumulative probability distribution of the residuals used for reporting. More...

double	maximumLikelihoodMedianR2Residuals () const
	Returns the median of the \|R^2 residuals\|. More...

MaximumLikelihoodWFunctions	maximumLikelihoodModelWFunc (int modelIndex) const
	Returns the maximum likelihood model at the given index. More...

double	maximumLikelihoodModelQuantile (int modelIndex) const
	Returns the quantile of the maximum likelihood model at the given index. More...

QList< QPair< MaximumLikelihoodWFunctions, double > >	maximumLikelihoodModels () const

bool	setNumberHeldImages (SerialNumberList pHeldSnList, SerialNumberList *pSnList)

CorrelationMatrix	correlationMatrix () const
	Returns the Correlation Matrix. More...

void	setCorrMatCovFileName (FileName name)
	Set the covariance file name for the matrix used to calculate the correlation matrix. More...

void	setCorrMatImgsAndParams (QMap< QString, QStringList > imgsAndParams)
	Set the images and their associated parameters of the correlation matrix. More...

void	save (QXmlStreamWriter &stream, const Project *project) const
	Saves the BundleResults object to an XML file. More...

Private Attributes
CorrelationMatrix *	m_correlationMatrix
	The correlation matrix from the BundleAdjust. More...

int	m_numberFixedPoints
	number of 'fixed' (ground) points (define) More...

int	m_numberIgnoredPoints
	number of ignored points More...

int	m_numberHeldImages
	number of 'held' images (define) More...

double	m_rmsXResiduals
	rms of x residuals More...

double	m_rmsYResiduals
	rms of y residuals More...

double	m_rmsXYResiduals
	rms of all x and y residuals More...

double	m_rejectionLimit
	current rejection limit More...

int	m_numberObservations
	number of image coordinate observations More...

int	m_numberRejectedObservations
	number of rejected image coordinate observations More...

int	m_numberUnknownParameters
	total number of parameters to solve for More...

int	m_numberImageParameters
	number of image parameters More...

int	m_numberConstrainedImageParameters
	number of constrained image parameters More...

int	m_numberConstrainedPointParameters
	number of constrained point parameters More...

int	m_numberConstrainedTargetParameters
	number of constrained target parameters More...

int	m_degreesOfFreedom
	degrees of freedom More...

double	m_sigma0
	std deviation of unit weight More...

double	m_elapsedTime
	elapsed time for bundle More...

double	m_elapsedTimeErrorProp
	elapsed time for error propagation More...

bool	m_converged

QVector< BundleControlPointQsp >	m_bundleControlPoints
	The vector of BundleControlPoints from BundleAdjust. More...

ControlNetQsp	m_outNet
	The output control net from BundleAdjust. More...

int	m_iterations
	The number of iterations taken by BundleAdjust. More...

BundleObservationVector	m_observations
	The vector of BundleObservations from BundleAdjust. More...

QList< Statistics >	m_rmsImageSampleResiduals
	List of RMS image sample residual statistics for each image in the bundle. More...

QList< Statistics >	m_rmsImageLineResiduals
	List of RMS image line residual statistics for each image in the bundle. More...

QList< Statistics >	m_rmsImageResiduals
	RMS image sample and line residual statistics for each image in the bundle. More...

QVector< Statistics >	m_rmsImageXSigmas

QVector< Statistics >	m_rmsImageYSigmas
	< The root mean square image y sigmas. More...

QVector< Statistics >	m_rmsImageZSigmas
	< The root mean square image z sigmas. More...

QVector< Statistics >	m_rmsImageRASigmas
	< The root mean square image right ascension sigmas. More...

QVector< Statistics >	m_rmsImageDECSigmas
	< The root mean square image declination sigmas. More...

QVector< Statistics >	m_rmsImageTWISTSigmas
	< The root mean square image twist sigmas. More...

Distance	m_minSigmaCoord1Distance
	The minimum sigma latitude distance. More...

Distance	m_maxSigmaCoord1Distance
	The maximum sigma latitude distance. More...

Distance	m_minSigmaCoord2Distance
	The minimum sigma longitude distance. More...

Distance	m_maxSigmaCoord2Distance
	The maximum sigma longitude distance. More...

Distance	m_minSigmaCoord3Distance
	The minimum sigma radius distance. More...

Distance	m_maxSigmaCoord3Distance
	The maximum sigma radius distance. More...

QString	m_minSigmaCoord1PointId
	The minimum sigma coordinate 1 point id. More...

QString	m_maxSigmaCoord1PointId
	The maximum sigma coordinate 1 point id. More...

QString	m_minSigmaCoord2PointId
	The minimum sigma coordinate 2 point id. More...

QString	m_maxSigmaCoord2PointId
	The maximum sigma coordinate2 point id. More...

QString	m_minSigmaCoord3PointId
	The minimum sigma coordinate 3 point id. More...

QString	m_maxSigmaCoord3PointId
	The maximum sigma coordinate 3 point id. More...

double	m_rmsSigmaCoord1Stats
	rms of adjusted Latitude sigmas More...

double	m_rmsSigmaCoord2Stats
	rms of adjusted Longitude sigmas More...

double	m_rmsSigmaCoord3Stats
	rms of adjusted Radius sigmas More...

QList< QPair< MaximumLikelihoodWFunctions, double > >	m_maximumLikelihoodFunctions
	< The maximum likelihood models and their quantiles. More...

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

StatCumProbDistDynCalc *	m_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. More...

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

double	m_maximumLikelihoodMedianR2Residuals
	Median of R^2 residuals. More...

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.

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

Definition at line 96 of file BundleResults.h.

Constructor & Destructor Documentation

◆ BundleResults() [1/3]

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

Constructs a BundleResults object.

Parameters

parent The Qt-relationship parent.

Definition at line 40 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

bundleSettingsFolder	Where the settings XML for this bundle adjustment resides - /work/.../projectRoot/images/import1
xmlReader	An XML reader that's up to a <bundleSettings> tag.
parent	The Qt-relationship parent.

Definition at line 63 of file BundleResults.cpp.

References initialize(), and Isis::XmlStackedHandlerReader::pushContentHandler().

◆ 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

src	The other BundleResults object to be copied.

Definition at line 81 of file BundleResults.cpp.

◆ ~BundleResults()

Isis::BundleResults::~BundleResults ( )

Destroys this BundleResults object.

Definition at line 141 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

observationValue The value of the added observation.

Definition at line 530 of file BundleResults.cpp.

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

◆ addResidualsProbabilityDistributionObservation()

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

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

Parameters

observationValue The value of the added observation.

Definition at line 541 of file BundleResults.cpp.

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

◆ bundleControlPoints()

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

Returns a reference to the BundleControlPoint vector.

Returns: QVector<BundleControlPointQsp>& The BundleControlPoint vector.

Definition at line 1267 of file BundleResults.cpp.

References m_bundleControlPoints.

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

◆ computeDegreesOfFreedom()

void Isis::BundleResults::computeDegreesOfFreedom ( )

Computes the degrees of freedom of the bundle adjustment and stores it internally.

Definition at line 730 of file BundleResults.cpp.

References m_degreesOfFreedom, m_numberConstrainedImageParameters, m_numberConstrainedPointParameters, m_numberConstrainedTargetParameters, m_numberObservations, and m_numberUnknownParameters.

Referenced by computeSigma0().

◆ computeSigma0()

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

Computes the sigma0 and stores it internally.

Parameters

dvtpv	The 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.
criteria	The convergence criteria for the bundle adjustment.

Exceptions

IException::Io "Computed degrees of freedom is invalid."

Definition at line 750 of file BundleResults.cpp.

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

◆ converged()

bool Isis::BundleResults::converged ( ) const

Returns whether or not the bundle adjustment converged.

Returns: bool If the bundle adjustment converged.

Definition at line 1257 of file BundleResults.cpp.

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

◆ 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 1397 of file BundleResults.cpp.

References _FILEINFO_, 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 1335 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 1217 of file BundleResults.cpp.

References m_degreesOfFreedom.

Referenced by save(), and setDegreesOfFreedom().

◆ 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 1237 of file BundleResults.cpp.

References m_elapsedTime.

Referenced by 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 1247 of file BundleResults.cpp.

References m_elapsedTimeErrorProp.

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

◆ incrementFixedPoints()

void Isis::BundleResults::incrementFixedPoints ( )

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

Definition at line 558 of file BundleResults.cpp.

References m_numberFixedPoints.

◆ incrementHeldImages()

void Isis::BundleResults::incrementHeldImages ( )

Increases the number of 'held' images.

Definition at line 576 of file BundleResults.cpp.

References m_numberHeldImages.

◆ incrementIgnoredPoints()

void Isis::BundleResults::incrementIgnoredPoints ( )

Increase the number of ignored points.

Definition at line 594 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 550 of file BundleResults.cpp.

References m_maximumLikelihoodIndex.

◆ incrementNumberConstrainedImageParameters()

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

Increase the number of constrained image parameters.

Parameters

incrementAmount The amount to increase by.

Definition at line 694 of file BundleResults.cpp.

References m_numberConstrainedImageParameters.

◆ incrementNumberConstrainedPointParameters()

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

Increase the number of contrained point parameters.

Parameters

incrementAmount The amount to increase by.

Definition at line 676 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

◆ incrementNumberConstrainedTargetParameters()

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

Increases the number of constrained target parameters.

Parameters

incrementAmount The amount to increase by.

Definition at line 712 of file BundleResults.cpp.

References m_numberConstrainedTargetParameters.

◆ 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 237 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_numberConstrainedPointParameters, m_numberConstrainedTargetParameters, m_numberFixedPoints, m_numberHeldImages, m_numberIgnoredPoints, m_numberImageParameters, m_numberObservations, m_numberRejectedObservations, m_numberUnknownParameters, m_observations, m_outNet, m_rejectionLimit, m_rmsImageDECSigmas, m_rmsImageLineResiduals, m_rmsImageRASigmas, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, m_rmsSigmaCoord3Stats, m_rmsXResiduals, m_rmsXYResiduals, m_rmsYResiduals, m_sigma0, and Isis::Distance::setMeters().

Referenced by BundleResults().

◆ initializeProbabilityDistribution()

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

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

Parameters

nodes The number of quantiles in the cumulative probability distribution.

Definition at line 509 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

nodes The number of quantiles in the cumulative probability distribution.

Definition at line 519 of file BundleResults.cpp.

References m_cumProRes.

Referenced by BundleResults(), and maximumLikelihoodSetUp().

◆ iterations()

int Isis::BundleResults::iterations ( ) const

Returns the number of iterations taken by the BundleAdjust.

Returns: int The number of iterations.

Definition at line 1294 of file BundleResults.cpp.

References m_iterations.

Referenced by Isis::BundleSolutionInfo::outputHeader(), 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 1355 of file BundleResults.cpp.

References m_maximumLikelihoodMedianR2Residuals.

Referenced by 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 1324 of file BundleResults.cpp.

References m_maximumLikelihoodIndex.

Referenced by save().

◆ maximumLikelihoodModelQuantile()

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

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

Parameters

modelIndex The index of the maximum likelihood model whose quantile will be returned.

Returns: double The quantile of the desired maximum likelihood model.

Definition at line 1379 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

modelIndex The index of the maximum likelihood model to be returned.

Returns: MaximumLikelihoodWFunctions The maximum likelihood model at the input index.

Definition at line 1367 of file BundleResults.cpp.

References m_maximumLikelihoodFunctions.

Referenced by 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

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

Definition at line 442 of file BundleResults.cpp.

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

◆ maxSigmaCoord1Distance()

Distance Isis::BundleResults::maxSigmaCoord1Distance ( ) const

Returns the maximum sigma distance for coordinate 1.

Returns: Distance The maximum sigma Coord1.

Definition at line 967 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: The maximum sigma Coord1 point id.

Definition at line 1027 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 987 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: The maximum sigma Coord2 point id.

Definition at line 1047 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 1007 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: The maximum sigma Coord3 point id.

Definition at line 1067 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 957 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: The minimum sigma Coord1 point id.

Definition at line 1017 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 977 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: The minimum sigma longitude point id.

Definition at line 1037 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 997 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: The minimum sigma Coord3 point id.

Definition at line 1057 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 1187 of file BundleResults.cpp.

References m_numberConstrainedImageParameters.

Referenced by 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 1177 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

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

◆ numberConstrainedTargetParameters()

int Isis::BundleResults::numberConstrainedTargetParameters ( ) const

Return the number of constrained target parameters.

Returns: int The number of constrained target parameters.

Definition at line 1197 of file BundleResults.cpp.

References m_numberConstrainedTargetParameters.

Referenced by 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 568 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 586 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 604 of file BundleResults.cpp.

References m_numberIgnoredPoints.

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 1167 of file BundleResults.cpp.

References m_numberImageParameters.

Referenced by 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 1314 of file BundleResults.cpp.

References m_maximumLikelihoodFunctions.

Referenced by printMaximumLikelihoodTierInformation(), and save().

◆ numberObservations()

int Isis::BundleResults::numberObservations ( ) const

Returns the number of observations.

Returns: int The number of observations.

Definition at line 1157 of file BundleResults.cpp.

References m_numberObservations.

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

◆ numberRejectedObservations()

int Isis::BundleResults::numberRejectedObservations ( ) const

Returns the number of observation that were rejected.

Returns: int The number of rejected observations.

Definition at line 1147 of file BundleResults.cpp.

References m_numberRejectedObservations.

Referenced by 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 1207 of file BundleResults.cpp.

References m_numberUnknownParameters.

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

◆ 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 1304 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

src	The other BundleResults object to be copied from.

Definition at line 161 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_numberConstrainedPointParameters, m_numberConstrainedTargetParameters, m_numberFixedPoints, m_numberHeldImages, m_numberIgnoredPoints, m_numberImageParameters, m_numberObservations, m_numberRejectedObservations, m_numberUnknownParameters, m_observations, m_outNet, m_rejectionLimit, m_rmsImageDECSigmas, m_rmsImageLineResiduals, m_rmsImageRASigmas, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, 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 1279 of file BundleResults.cpp.

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

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

◆ printMaximumLikelihoodTierInformation()

void Isis::BundleResults::printMaximumLikelihoodTierInformation ( )

Prints out information about which tier the solution is in and the status of the residuals.

Definition at line 484 of file BundleResults.cpp.

References initializeProbabilityDistribution(), m_cumPro, m_maximumLikelihoodFunctions, m_maximumLikelihoodIndex, m_maximumLikelihoodMedianR2Residuals, numberMaximumLikelihoodModels(), and Isis::StatCumProbDistDynCalc::value().

◆ rejectionLimit()

double Isis::BundleResults::rejectionLimit ( ) const

Returns the rejection limit.

Returns: double The rejection limit.

Definition at line 1137 of file BundleResults.cpp.

References m_rejectionLimit.

Referenced by save(), and setRejectionLimit().

◆ resetNumberConstrainedImageParameters()

void Isis::BundleResults::resetNumberConstrainedImageParameters ( )

Resets the number of constrained image parameters to 0.

Definition at line 684 of file BundleResults.cpp.

References m_numberConstrainedImageParameters.

◆ resetNumberConstrainedPointParameters()

void Isis::BundleResults::resetNumberConstrainedPointParameters ( )

Resets the number of contrained point parameters to 0.

Definition at line 666 of file BundleResults.cpp.

References m_numberConstrainedPointParameters.

◆ resetNumberConstrainedTargetParameters()

void Isis::BundleResults::resetNumberConstrainedTargetParameters ( )

Resets the number of constrained target parameters to 0.

Definition at line 702 of file BundleResults.cpp.

References m_numberConstrainedTargetParameters.

◆ 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 1345 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

numberImages The new size for the image sigma vectors.

Definition at line 329 of file BundleResults.cpp.

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

◆ 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 937 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 877 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 927 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 887 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 867 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 947 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 897 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 907 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 917 of file BundleResults.cpp.

References m_rmsImageZSigmas.

Referenced by save().

◆ rmsRx()

double Isis::BundleResults::rmsRx ( ) const

Returns the RMS of the x residuals.

Returns: double The RMS of the x residuals.

Definition at line 1107 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 1127 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 1117 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

stream	The QXMLStreamWriter that will be used to write out the XML file.
project	The project that the BundleResults object belongs to.

Definition at line 1449 of file BundleResults.cpp.

References _FILEINFO_, converged(), correlationMatrix(), degreesOfFreedom(), elapsedTime(), elapsedTimeErrorProp(), Isis::SurfacePoint::Latitudinal, m_maximumLikelihoodFunctions, m_outNet, m_rmsImageDECSigmas, m_rmsImageLineResiduals, m_rmsImageRASigmas, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsImageTWISTSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, maximumLikelihoodMedianR2Residuals(), maximumLikelihoodModelIndex(), maxSigmaCoord1Distance(), maxSigmaCoord1PointId(), maxSigmaCoord2Distance(), maxSigmaCoord2PointId(), maxSigmaCoord3Distance(), maxSigmaCoord3PointId(), minSigmaCoord1Distance(), minSigmaCoord1PointId(), minSigmaCoord2Distance(), minSigmaCoord2PointId(), minSigmaCoord3Distance(), minSigmaCoord3PointId(), Isis::MaximumLikelihoodWFunctions::modelToString(), numberConstrainedImageParameters(), numberConstrainedPointParameters(), numberConstrainedTargetParameters(), numberFixedPoints(), numberHeldImages(), numberIgnoredPoints(), numberImageParameters(), numberMaximumLikelihoodModels(), numberObservations(), numberRejectedObservations(), numberUnknownParameters(), outputControlNet(), Isis::IException::Programmer, Isis::SurfacePoint::Rectangular, rejectionLimit(), rmsImageDECSigmas(), rmsImageLineResiduals(), rmsImageRASigmas(), rmsImageResiduals(), rmsImageSampleResiduals(), rmsImageTWISTSigmas(), rmsImageXSigmas(), rmsImageYSigmas(), rmsImageZSigmas(), 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

controlPoints The vector of BundleControlPointQsps.

Definition at line 824 of file BundleResults.cpp.

References m_bundleControlPoints.

◆ setConverged()

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

Sets if the bundle adjustment converged.

Parameters

converged If the bundle adjustment converged.

Definition at line 814 of file BundleResults.cpp.

References converged().

◆ setCorrMatCovFileName()

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

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

Parameters

name	The name of the file used to store the covariance matrix.

Definition at line 1414 of file BundleResults.cpp.

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

◆ setCorrMatImgsAndParams()

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

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

Parameters

imgsAndParams The QMap with all the images and parameters used for this bundle.

Definition at line 1425 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

degreesOfFreedom The degrees of freedom.

Definition at line 774 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

time	The elapsed time.

Definition at line 794 of file BundleResults.cpp.

References m_elapsedTime.

◆ setElapsedTimeErrorProp()

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

Sets the elapsed time for error propegation.

Parameters

time	The elapsed time.

Definition at line 804 of file BundleResults.cpp.

References m_elapsedTimeErrorProp.

◆ setIterations()

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

Sets the number of iterations taken by the BundleAdjust.

Parameters

iterations The number of iterations.

Definition at line 844 of file BundleResults.cpp.

References iterations(), and m_iterations.

◆ setNumberImageParameters()

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

Sets the number of image parameters.

Parameters

numberParameters The number of image parameters.

Definition at line 658 of file BundleResults.cpp.

References m_numberImageParameters.

◆ setNumberObservations()

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

Sets the number of observations.

Parameters

numberObservations The number of observations.

Definition at line 648 of file BundleResults.cpp.

References m_numberObservations, and numberObservations().

◆ setNumberRejectedObservations()

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

Sets the number of rejected observations.

Parameters

numberRejectedObservations The number of rejected observations.

Definition at line 638 of file BundleResults.cpp.

References m_numberRejectedObservations, and numberRejectedObservations().

◆ setNumberUnknownParameters()

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

Sets the total number of parameters to solve for.

Parameters

numberParameters The number of parameters to solve for.

Definition at line 722 of file BundleResults.cpp.

References m_numberUnknownParameters.

◆ setObservations()

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

Sets the vector of BundleObservations.

Parameters

observations The vector of BundleObservations.

Definition at line 854 of file BundleResults.cpp.

References m_observations, and observations().

◆ setOutputControlNet()

void Isis::BundleResults::setOutputControlNet ( ControlNetQsp outNet )

Sets the output ControlNet.

Parameters

outNet A QSharedPointer to the output ControlNet.

Definition at line 834 of file BundleResults.cpp.

References m_outNet.

◆ setRejectionLimit()

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

Sets the rejection limit.

Parameters

rejectionLimit The rejection limit.

Definition at line 628 of file BundleResults.cpp.

References m_rejectionLimit, and rejectionLimit().

◆ 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

rmsFromSigmaCoord1Stats	The new RMS value of the adjusted coord1 sigmas.
rmsFromSigmaCoord2Stats	The new RMS value of the adjusted coord2 sigmas.
rmsFromSigmaCoord3Stats	The new RMS value of the adjusted coord3 sigmas.

Definition at line 425 of file BundleResults.cpp.

References m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, and m_rmsSigmaCoord3Stats.

◆ setRmsImageResidualLists()

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

Sets the root mean square image residual Statistics lists.

Parameters

rmsImageLineResiduals	The new image line residuals list.
rmsImageSampleResiduals	The new image sample residuals list.
rmsImageResiduals	The new image residuals list.

Definition at line 358 of file BundleResults.cpp.

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

◆ setRmsXYResiduals()

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

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

Parameters

rx	The RMS value of the x residuals.
ry	The RMS value of the y residuals.
rxy	The RMS value of both the x and y residuals.

Definition at line 616 of file BundleResults.cpp.

References m_rmsXResiduals, m_rmsXYResiduals, and m_rmsYResiduals.

◆ setSigma0()

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

Sets the sigma0.

Parameters

sigma0 The sigma0.

Definition at line 784 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

minLatDist	The new minimum sigma latitude distance.
maxLatDist	The new maximum sigma latitude distance.
minLatPointId	The new minimum sigma latitude point id.
maxLatPointId	The new maximum sigma latitude point id.

Definition at line 375 of file BundleResults.cpp.

References m_maxSigmaCoord1Distance, m_maxSigmaCoord1PointId, m_minSigmaCoord1Distance, and m_minSigmaCoord1PointId.

◆ 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

minLonDist	The new minimum sigma longitude distance.
maxLonDist	The new maximum sigma longitude distance.
minLonPointId	The new minimum sigma longitude point id.
maxLonPointId	The new maximum sigma longitude point id.

Definition at line 392 of file BundleResults.cpp.

References m_maxSigmaCoord2Distance, m_maxSigmaCoord2PointId, m_minSigmaCoord2Distance, and m_minSigmaCoord2PointId.

◆ 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

minRadDist	The new minimum sigma radius distance.
maxRadDist	The new maximum sigma radius distance.
minRadPointId	The new minimum sigma radius point id.
maxRadPointId	The new maximum sigma radius point id.

Definition at line 409 of file BundleResults.cpp.

References m_maxSigmaCoord3Distance, m_maxSigmaCoord3PointId, m_minSigmaCoord3Distance, and m_minSigmaCoord3PointId.

◆ sigma0()

double Isis::BundleResults::sigma0 ( ) const

Returns the Sigma0 of the bundle adjustment.

Returns: double The Sigma0.

Definition at line 1227 of file BundleResults.cpp.

References m_sigma0.

Referenced by Isis::BundleSolutionInfo::outputHeader(), save(), and setSigma0().

◆ 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 1077 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 1087 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 1097 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 330 of file BundleResults.h.

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

◆ m_correlationMatrix

CorrelationMatrix* Isis::BundleResults::m_correlationMatrix

private

The correlation matrix from the BundleAdjust.

Definition at line 301 of file BundleResults.h.

Referenced by BundleResults(), correlationMatrix(), initialize(), operator=(), setCorrMatCovFileName(), setCorrMatImgsAndParams(), and ~BundleResults().

◆ 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 409 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 414 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 322 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 324 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 325 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 340 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 393 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 406 of file BundleResults.h.

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

◆ m_maximumLikelihoodMedianR2Residuals

double Isis::BundleResults::m_maximumLikelihoodMedianR2Residuals

private

Median of R^2 residuals.

Definition at line 418 of file BundleResults.h.

Referenced by initialize(), maximumLikelihoodMedianR2Residuals(), maximumLikelihoodSetUp(), operator=(), and printMaximumLikelihoodTierInformation().

◆ m_maxSigmaCoord1Distance

Distance Isis::BundleResults::m_maxSigmaCoord1Distance

private

The maximum sigma latitude distance.

Definition at line 371 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 378 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 373 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 380 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 375 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 382 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 370 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 377 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 372 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 379 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 374 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 381 of file BundleResults.h.

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

◆ m_numberConstrainedImageParameters

int Isis::BundleResults::m_numberConstrainedImageParameters

private

number of constrained image parameters

Definition at line 319 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), incrementNumberConstrainedImageParameters(), initialize(), numberConstrainedImageParameters(), operator=(), and resetNumberConstrainedImageParameters().

◆ m_numberConstrainedPointParameters

int Isis::BundleResults::m_numberConstrainedPointParameters

private

number of constrained point parameters

Definition at line 320 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), incrementNumberConstrainedPointParameters(), initialize(), numberConstrainedPointParameters(), operator=(), and resetNumberConstrainedPointParameters().

◆ m_numberConstrainedTargetParameters

int Isis::BundleResults::m_numberConstrainedTargetParameters

private

number of constrained target parameters

Definition at line 321 of file BundleResults.h.

Referenced by computeDegreesOfFreedom(), incrementNumberConstrainedTargetParameters(), initialize(), numberConstrainedTargetParameters(), operator=(), and resetNumberConstrainedTargetParameters().

◆ m_numberFixedPoints

int Isis::BundleResults::m_numberFixedPoints

private

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

Definition at line 303 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 306 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 305 of file BundleResults.h.

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

◆ m_numberImageParameters

int Isis::BundleResults::m_numberImageParameters

private

number of image parameters

Definition at line 318 of file BundleResults.h.

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

◆ m_numberObservations

int Isis::BundleResults::m_numberObservations

private

number of image coordinate observations

Definition at line 315 of file BundleResults.h.

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

◆ m_numberRejectedObservations

int Isis::BundleResults::m_numberRejectedObservations

private

number of rejected image coordinate observations

Definition at line 316 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 317 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 342 of file BundleResults.h.

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

◆ m_outNet

ControlNetQsp Isis::BundleResults::m_outNet

private

The output control net from BundleAdjust.

Definition at line 338 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 313 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 366 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 352 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 364 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.

The root mean square image x sigmas.

Definition at line 354 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 350 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 368 of file BundleResults.h.

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

◆ m_rmsImageYSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageYSigmas

private

< The root mean square image y sigmas.

Definition at line 360 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 362 of file BundleResults.h.

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

◆ m_rmsSigmaCoord1Stats

double Isis::BundleResults::m_rmsSigmaCoord1Stats

private

rms of adjusted Latitude sigmas

Definition at line 384 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 385 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 386 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 309 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 311 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 310 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 323 of file BundleResults.h.

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

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

src/control/objs/BundleResults/BundleResults.h
src/control/objs/BundleResults/BundleResults.cpp

Classes

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ BundleResults() [1/3]

◆ BundleResults() [2/3]

◆ BundleResults() [3/3]

◆ ~BundleResults()

Member Function Documentation

◆ addProbabilityDistributionObservation()

◆ addResidualsProbabilityDistributionObservation()

◆ bundleControlPoints()

◆ computeDegreesOfFreedom()

◆ computeSigma0()

◆ converged()

◆ correlationMatrix()

◆ cumulativeProbabilityDistribution()

◆ degreesOfFreedom()

◆ elapsedTime()

◆ elapsedTimeErrorProp()

◆ incrementFixedPoints()

◆ incrementHeldImages()

◆ incrementIgnoredPoints()

◆ incrementMaximumLikelihoodModelIndex()

◆ incrementNumberConstrainedImageParameters()

◆ incrementNumberConstrainedPointParameters()

◆ incrementNumberConstrainedTargetParameters()

◆ initialize()

◆ initializeProbabilityDistribution()

◆ initializeResidualsProbabilityDistribution()

◆ iterations()

◆ maximumLikelihoodMedianR2Residuals()

◆ maximumLikelihoodModelIndex()

◆ maximumLikelihoodModelQuantile()

◆ maximumLikelihoodModelWFunc()

◆ maximumLikelihoodSetUp()

◆ maxSigmaCoord1Distance()

◆ maxSigmaCoord1PointId()

◆ maxSigmaCoord2Distance()

◆ maxSigmaCoord2PointId()

◆ maxSigmaCoord3Distance()

◆ maxSigmaCoord3PointId()

◆ minSigmaCoord1Distance()

◆ minSigmaCoord1PointId()

◆ minSigmaCoord2Distance()

◆ minSigmaCoord2PointId()

◆ minSigmaCoord3Distance()

◆ minSigmaCoord3PointId()

◆ numberConstrainedImageParameters()

◆ numberConstrainedPointParameters()

◆ numberConstrainedTargetParameters()

◆ numberFixedPoints()

◆ numberHeldImages()

◆ numberIgnoredPoints()

◆ numberImageParameters()

◆ numberMaximumLikelihoodModels()

◆ numberObservations()

◆ numberRejectedObservations()

◆ numberUnknownParameters()

◆ observations()

◆ operator=()

◆ outputControlNet()

◆ printMaximumLikelihoodTierInformation()

◆ rejectionLimit()

◆ resetNumberConstrainedImageParameters()

◆ resetNumberConstrainedPointParameters()

◆ resetNumberConstrainedTargetParameters()

◆ residualsCumulativeProbabilityDistribution()

◆ resizeSigmaStatisticsVectors()

◆ rmsImageDECSigmas()

◆ rmsImageLineResiduals()

◆ rmsImageRASigmas()

◆ rmsImageResiduals()

◆ rmsImageSampleResiduals()

◆ rmsImageTWISTSigmas()

◆ rmsImageXSigmas()

◆ rmsImageYSigmas()

◆ rmsImageZSigmas()

◆ rmsRx()