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

#include <BundleResults.h>

Inheritance diagram for Isis::BundleResults:

Collaboration diagram for Isis::BundleResults:

Public Member Functions
	BundleResults (QObject *parent=0)
	Constructs a BundleResults object.

	BundleResults (QXmlStreamReader xmlReader, QObject parent=0)
	Construct this BundleResults object from XML.

void	readBundleResults (QXmlStreamReader *xmlReader)

void	readCorrelationMatrix (QXmlStreamReader *xmlReader)

void	readGenStatsValues (QXmlStreamReader *xmlReader)

void	readRms (QXmlStreamReader *xmlReader)

void	readImageResidualsLists (QXmlStreamReader *xmlReader)

void	readSigmasLists (QXmlStreamReader *xmlReader)

void	readStatsToList (QList< Statistics > &list, QXmlStreamReader *xmlReader)

void	readStatsToVector (QVector< Statistics > &vec, QXmlStreamReader *xmlReader)

void	readMinMaxSigmas (QXmlStreamReader *xmlReader)

void	readSigma (Distance &dist, QString &pointId, QXmlStreamReader *xmlReader)

void	readMaxLikelihoodEstimation (QXmlStreamReader *xmlReader)

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

	~BundleResults ()
	Destroys this BundleResults object.

BundleResults &	operator= (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< Statistics >	rmsImageSampleResiduals () const
	Returns the list of RMS image sample residuals statistics.

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

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

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

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

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

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

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

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

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

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

QVector< Statistics >	rmsImageTWISTSigmas () 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 BundleObservationVector &	observations () 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.

Public Attributes
CorrelationMatrix *	m_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< BundleControlPointQsp >	m_bundleControlPoints
	The vector of BundleControlPoints from BundleAdjust.

QVector< BundleLidarControlPointQsp >	m_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< Statistics >	m_rmsImageSampleResiduals
	List of RMS image sample residual statistics for each image in the bundle

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

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

QList< Statistics >	m_rmsLidarImageSampleResiduals
	List of RMS lidar sample residual stats for each image in the bundle

QList< Statistics >	m_rmsLidarImageLineResiduals
	List of RMS lidar line residual stats for each image in the bundle

QList< Statistics >	m_rmsLidarImageResiduals
	RMS image lidar sample & line residual stats for each image in the bundle

QVector< Statistics >	m_rmsImageXSigmas

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

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

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

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

QVector< Statistics >	m_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.

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.

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.

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

Constructor & Destructor Documentation

◆ BundleResults() [1/3]

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

Constructs a BundleResults object.

Parameters

parent The Qt-relationship parent.

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

◆ BundleResults() [2/3]

Isis::BundleResults::BundleResults	(	QXmlStreamReader *	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.

References initialize(), and readBundleResults().

◆ 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.

◆ ~BundleResults()

Isis::BundleResults::~BundleResults ( )

Destroys this BundleResults object.

References m_correlationMatrix, m_cumPro, and m_cumProRes.

Member Function Documentation

◆ addProbabilityDistributionObservation() [1/2]

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.

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

◆ addProbabilityDistributionObservation() [2/2]

void Isis::BundleResults::addProbabilityDistributionObservation	(	double	obsValue,
		bool	residuals )

◆ 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.

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.

References m_bundleControlPoints.

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

◆ bundleLidarControlPoints()

QVector< BundleLidarControlPointQsp > & Isis::BundleResults::bundleLidarControlPoints ( )

Returns a reference to the BundleLidarControlPoint vector.

Returns: QVector<BundleLidarControlPointQsp>& The BundleLidarControlPoint vector.

References m_bundleLidarPoints.

Referenced by Isis::BundleSolutionInfo::outputLidarCSV(), 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.

References m_degreesOfFreedom, m_numberConstrainedImageParameters, m_numberConstrainedLidarPointParameters, m_numberConstrainedPointParameters, m_numberConstrainedTargetParameters, m_numberImageObservations, m_numberLidarImageObservations, m_numberLidarRangeConstraintEquations, and m_numberUnknownParameters.

Referenced by computeSigma0().

◆ 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

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."

References _FILEINFO_, 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.

References m_converged.

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

◆ coordTypeReports()

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

References Isis::SurfacePoint::Latitudinal, m_outNet, and outputControlNet().

◆ 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."

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|.

References m_cumPro.

◆ degreesOfFreedom()

int Isis::BundleResults::degreesOfFreedom ( ) const

Returns the degrees of freedom.

Returns: int the degrees of freedom.

References m_degreesOfFreedom.

Referenced by 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.

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.

References m_elapsedTimeErrorProp.

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

◆ incrementFixedPoints()

void Isis::BundleResults::incrementFixedPoints ( )

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

References m_numberFixedPoints.

◆ incrementHeldImages()

void Isis::BundleResults::incrementHeldImages ( )

Increases the number of 'held' images.

References m_numberHeldImages.

◆ incrementIgnoredPoints()

void Isis::BundleResults::incrementIgnoredPoints ( )

Increase the number of ignored points.

References m_numberIgnoredPoints.

◆ incrementMaximumLikelihoodModelIndex()

void Isis::BundleResults::incrementMaximumLikelihoodModelIndex ( )

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

References m_maximumLikelihoodIndex.

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

◆ incrementNumberConstrainedImageParameters()

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

Increase the number of constrained image parameters.

Parameters

incrementAmount The amount to increase by.

References m_numberConstrainedImageParameters.

◆ incrementNumberConstrainedPointParameters()

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

Increase the number of contrained point parameters.

Parameters

incrementAmount The amount to increase by.

References m_numberConstrainedPointParameters.

◆ incrementNumberConstrainedTargetParameters()

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

Increases the number of constrained target parameters.

Parameters

incrementAmount The amount to increase by.

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.

References m_converged, 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_rmsImageXSigmas, 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

nodes The number of quantiles in the cumulative probability distribution.

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

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.

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

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.

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|.

References m_maximumLikelihoodMedianR2Residuals.

Referenced by readMaxLikelihoodEstimation(), and save().

◆ 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.

References m_maximumLikelihoodIndex.

Referenced by 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

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

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

References m_maximumLikelihoodFunctions.

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

◆ maximumLikelihoodModels()

QList< QPair< MaximumLikelihoodWFunctions, double > > Isis::BundleResults::maximumLikelihoodModels ( ) const

◆ 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

References m_numberConstrainedPointParameters.

Referenced by 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.

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.

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.

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.

References m_numberIgnoredPoints.

Referenced by save().

◆ numberImageObservations()

int Isis::BundleResults::numberImageObservations ( ) const

Returns the number of observations.

Returns: int The number of observations.

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.

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.

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.

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.

References m_maximumLikelihoodFunctions.

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

◆ numberObservations()

int Isis::BundleResults::numberObservations ( ) const

Returns the number of observations.

Returns: int The number of observations.

References m_numberImageObservations, and m_numberLidarImageObservations.

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

◆ numberRejectedObservations()

int Isis::BundleResults::numberRejectedObservations ( ) const

Returns the number of observation that were rejected.

Returns: int The number of rejected observations.

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.

References m_numberUnknownParameters.

Referenced by 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.

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.

References m_bundleControlPoints, m_bundleLidarPoints, m_converged, 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_rmsImageXSigmas, 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."

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

Referenced by coordTypeReports(), 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."

References m_outLidarData.

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

◆ printMaximumLikelihoodTierInformation()

void Isis::BundleResults::printMaximumLikelihoodTierInformation ( )

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

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

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

◆ readBundleResults()

void Isis::BundleResults::readBundleResults ( QXmlStreamReader * xmlReader )

References m_elapsedTime, m_elapsedTimeErrorProp, readCorrelationMatrix(), readGenStatsValues(), readMaxLikelihoodEstimation(), readMinMaxSigmas(), and readRms().

Referenced by BundleResults(), and Isis::BundleSolutionInfo::readBundleSolutionInfo().

◆ readCorrelationMatrix()

void Isis::BundleResults::readCorrelationMatrix ( QXmlStreamReader * xmlReader )

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

Referenced by readBundleResults().

◆ readGenStatsValues()

void Isis::BundleResults::readGenStatsValues ( QXmlStreamReader * xmlReader )

◆ readImageResidualsLists()

void Isis::BundleResults::readImageResidualsLists ( QXmlStreamReader * xmlReader )

References m_rmsImageLineResiduals, m_rmsImageResiduals, m_rmsImageSampleResiduals, m_rmsLidarImageLineResiduals, m_rmsLidarImageResiduals, m_rmsLidarImageSampleResiduals, and readStatsToList().

Referenced by readRms().

◆ readMaxLikelihoodEstimation()

void Isis::BundleResults::readMaxLikelihoodEstimation ( QXmlStreamReader * xmlReader )

References m_cumPro, m_cumProRes, m_maximumLikelihoodFunctions, m_maximumLikelihoodIndex, m_maximumLikelihoodMedianR2Residuals, maximumLikelihoodMedianR2Residuals(), Isis::StatCumProbDistDynCalc::readStatistics(), and Isis::MaximumLikelihoodWFunctions::stringToModel().

Referenced by readBundleResults().

◆ readMinMaxSigmas()

void Isis::BundleResults::readMinMaxSigmas ( QXmlStreamReader * xmlReader )

References m_maxSigmaCoord1Distance, m_maxSigmaCoord1PointId, m_maxSigmaCoord2Distance, m_maxSigmaCoord2PointId, m_maxSigmaCoord3Distance, m_maxSigmaCoord3PointId, m_minSigmaCoord1Distance, m_minSigmaCoord1PointId, m_minSigmaCoord2Distance, m_minSigmaCoord2PointId, m_minSigmaCoord3Distance, m_minSigmaCoord3PointId, and readSigma().

Referenced by readBundleResults().

◆ readRms()

void Isis::BundleResults::readRms ( QXmlStreamReader * xmlReader )

References m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, m_rmsSigmaCoord3Stats, m_rmsXResiduals, m_rmsXYResiduals, m_rmsYResiduals, readImageResidualsLists(), and readSigmasLists().

Referenced by readBundleResults().

◆ readSigma()

void Isis::BundleResults::readSigma	(	Distance &	dist,
		QString &	pointId,
		QXmlStreamReader *	xmlReader )

Referenced by readMinMaxSigmas().

◆ readSigmasLists()

void Isis::BundleResults::readSigmasLists ( QXmlStreamReader * xmlReader )

References m_rmsImageDECSigmas, m_rmsImageRASigmas, m_rmsImageTWISTSigmas, m_rmsImageXSigmas, m_rmsImageYSigmas, m_rmsImageZSigmas, and readStatsToVector().

Referenced by readRms().

◆ readStatsToList()

void Isis::BundleResults::readStatsToList	(	QList< Statistics > &	list,
		QXmlStreamReader *	xmlReader )

Referenced by readImageResidualsLists().

◆ readStatsToVector()

void Isis::BundleResults::readStatsToVector	(	QVector< Statistics > &	vec,
		QXmlStreamReader *	xmlReader )

Referenced by readSigmasLists().

◆ rejectionLimit()

double Isis::BundleResults::rejectionLimit ( ) const

Returns the rejection limit.

Returns: double The rejection limit.

References m_rejectionLimit.

Referenced by save(), and setRejectionLimit().

◆ resetNumberConstrainedImageParameters()

void Isis::BundleResults::resetNumberConstrainedImageParameters ( )

Resets the number of constrained image parameters to 0.

References m_numberConstrainedImageParameters.

◆ resetNumberConstrainedPointParameters()

void Isis::BundleResults::resetNumberConstrainedPointParameters ( )

Resets the number of contrained point parameters to 0.

References m_numberConstrainedPointParameters.

◆ resetNumberConstrainedTargetParameters()

void Isis::BundleResults::resetNumberConstrainedTargetParameters ( )

Resets the number of constrained target parameters to 0.

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.

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.

References m_rmsImageDECSigmas, m_rmsImageRASigmas, m_rmsImageTWISTSigmas, m_rmsImageXSigmas, 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.

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.

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.

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.

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.

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.

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.

References m_rmsImageXSigmas.

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.

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.

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.

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.

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.

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.

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.

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.

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.

References _FILEINFO_, 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_rmsImageXSigmas, 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

controlPoints The vector of BundleControlPointQsps.

References m_bundleControlPoints.

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

◆ setBundleLidarPoints()

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

Sets the bundle lidar point vector.

Parameters

lidarPoints Vector of BundleLidarControlPointQsps.

References m_bundleLidarPoints.

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

◆ setConverged()

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

Sets if the bundle adjustment converged.

Parameters

converged If the bundle adjustment converged.

References converged(), and m_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

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

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.

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.

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.

References m_elapsedTime.

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

◆ setElapsedTimeErrorProp()

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

Sets the elapsed time for error propegation.

Parameters

time	The elapsed time.

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

iterations The number of iterations.

References iterations(), and m_iterations.

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

◆ setNumberConstrainedLidarPointParameters()

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

Set number of contrained point parameters.

Parameters

numberParameters Number of contrained point parameters.

References m_numberConstrainedLidarPointParameters.

◆ setNumberConstrainedPointParameters()

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

Set number of contrained point parameters.

Parameters

numberParameters Number of contrained point parameters.

References m_numberConstrainedPointParameters.

◆ setNumberHeldImages()

bool Isis::BundleResults::setNumberHeldImages	(	SerialNumberList	pHeldSnList,
		SerialNumberList *	pSnList )

◆ 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

numberObservations The number of photogrammetric image observations.

References m_numberImageObservations, and numberObservations().

◆ setNumberImageParameters()

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

Sets the number of image parameters.

Parameters

numberParameters The number of image parameters.

References m_numberImageParameters.

◆ setNumberLidarImageObservations()

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

Sets the number of lidar observations.

Parameters

numberLidarObservations The number of lidar observations.

References m_numberLidarImageObservations.

◆ setNumberLidarRangeConstraints()

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

Sets the total number of lidar range constraints.

Parameters

numberLidarRangeConstraints The total number of lidar range constraints.

References m_numberLidarRangeConstraintEquations.

◆ setNumberObservations()

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

Sets the number of observations.

Parameters

numberObservations The number of observations.

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.

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.

References m_numberUnknownParameters.

◆ setObservations()

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

Sets the vector of BundleObservations.

Parameters

observations The vector of BundleObservations.

References m_observations, and observations().

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

◆ setOutputControlNet()

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

Sets the output ControlNet.

Parameters

outNet A QSharedPointer to the output ControlNet.

References m_outNet.

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

◆ setOutputLidarData()

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

Sets the output LidarData object.

Parameters

outLidarData A QSharedPointer to the output LidarData object.

References m_outLidarData.

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

◆ setRejectionLimit()

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

Sets the rejection limit.

Parameters

rejectionLimit The rejection limit.

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.

References m_rmsSigmaCoord1Stats, m_rmsSigmaCoord2Stats, and m_rmsSigmaCoord3Stats.

◆ setRmsImageResidualLists() [1/2]

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.

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

◆ setRmsImageResidualLists() [2/2]

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

◆ 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

rmsLidarImageLineResiduals	The new image line residuals list.
rmsLidarImageSampleResiduals	The new image sample residuals list.
rmsLidarImageResiduals	The new image residuals list.

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

◆ 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.

References m_rmsXResiduals, m_rmsXYResiduals, and m_rmsYResiduals.

◆ setSigma0()

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

Sets the sigma0.

Parameters

sigma0 The sigma0.

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.

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.

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.

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.

References m_sigma0.

Referenced by 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.

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.

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.

References m_rmsSigmaCoord3Stats.

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

Member Data Documentation

◆ m_bundleControlPoints

QVector<BundleControlPointQsp> Isis::BundleResults::m_bundleControlPoints

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.

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

◆ m_bundleLidarPoints

QVector<BundleLidarControlPointQsp> Isis::BundleResults::m_bundleLidarPoints

Referenced by bundleLidarControlPoints(), operator=(), and setBundleLidarPoints().

◆ m_converged

bool Isis::BundleResults::m_converged

Referenced by converged(), initialize(), operator=(), readGenStatsValues(), and setConverged().

◆ m_correlationMatrix

CorrelationMatrix* Isis::BundleResults::m_correlationMatrix

The correlation matrix from the BundleAdjust.

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

◆ m_cumPro

StatCumProbDistDynCalc* Isis::BundleResults::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.

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

◆ m_cumProRes

StatCumProbDistDynCalc* Isis::BundleResults::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.

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

◆ m_degreesOfFreedom

int Isis::BundleResults::m_degreesOfFreedom

degrees of freedom

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

◆ m_elapsedTime

double Isis::BundleResults::m_elapsedTime

elapsed time for bundle

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

◆ m_elapsedTimeErrorProp

double Isis::BundleResults::m_elapsedTimeErrorProp

elapsed time for error propagation

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

◆ m_iterations

int Isis::BundleResults::m_iterations

The number of iterations taken by BundleAdjust.

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

◆ m_maximumLikelihoodFunctions

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

< 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.

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

◆ m_maximumLikelihoodIndex

int Isis::BundleResults::m_maximumLikelihoodIndex

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

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

◆ m_maximumLikelihoodMedianR2Residuals

double Isis::BundleResults::m_maximumLikelihoodMedianR2Residuals

Median of R^2 residuals.

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

◆ m_maxSigmaCoord1Distance

Distance Isis::BundleResults::m_maxSigmaCoord1Distance

The maximum sigma latitude distance.

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

◆ m_maxSigmaCoord1PointId

QString Isis::BundleResults::m_maxSigmaCoord1PointId

The maximum sigma coordinate 1 point id.

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

◆ m_maxSigmaCoord2Distance

Distance Isis::BundleResults::m_maxSigmaCoord2Distance

The maximum sigma longitude distance.

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

◆ m_maxSigmaCoord2PointId

QString Isis::BundleResults::m_maxSigmaCoord2PointId

The maximum sigma coordinate2 point id.

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

◆ m_maxSigmaCoord3Distance

Distance Isis::BundleResults::m_maxSigmaCoord3Distance

The maximum sigma radius distance.

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

◆ m_maxSigmaCoord3PointId

QString Isis::BundleResults::m_maxSigmaCoord3PointId

The maximum sigma coordinate 3 point id.

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

◆ m_minSigmaCoord1Distance

Distance Isis::BundleResults::m_minSigmaCoord1Distance

The minimum sigma latitude distance.

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

◆ m_minSigmaCoord1PointId

QString Isis::BundleResults::m_minSigmaCoord1PointId

The minimum sigma coordinate 1 point id.

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

◆ m_minSigmaCoord2Distance

Distance Isis::BundleResults::m_minSigmaCoord2Distance

The minimum sigma longitude distance.

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

◆ m_minSigmaCoord2PointId

QString Isis::BundleResults::m_minSigmaCoord2PointId

The minimum sigma coordinate 2 point id.

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

◆ m_minSigmaCoord3Distance

Distance Isis::BundleResults::m_minSigmaCoord3Distance

The minimum sigma radius distance.

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

◆ m_minSigmaCoord3PointId

QString Isis::BundleResults::m_minSigmaCoord3PointId

The minimum sigma coordinate 3 point id.

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

◆ m_numberConstrainedImageParameters

int Isis::BundleResults::m_numberConstrainedImageParameters

number of constrained image parameters

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

◆ m_numberConstrainedLidarPointParameters

int Isis::BundleResults::m_numberConstrainedLidarPointParameters

lidar points

Referenced by computeDegreesOfFreedom(), initialize(), operator=(), and setNumberConstrainedLidarPointParameters().

◆ m_numberConstrainedPointParameters

int Isis::BundleResults::m_numberConstrainedPointParameters

number of constrained point parameters

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

◆ m_numberConstrainedTargetParameters

int Isis::BundleResults::m_numberConstrainedTargetParameters

number of constrained target parameters

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

◆ m_numberFixedPoints

int Isis::BundleResults::m_numberFixedPoints

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

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

◆ m_numberHeldImages

int Isis::BundleResults::m_numberHeldImages

number of 'held' images (define)

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

◆ m_numberIgnoredPoints

int Isis::BundleResults::m_numberIgnoredPoints

number of ignored points

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

◆ m_numberImageObservations

int Isis::BundleResults::m_numberImageObservations

photogrammetry image coords. (2 per measure)

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

◆ m_numberImageParameters

int Isis::BundleResults::m_numberImageParameters

number of image parameters

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

◆ m_numberLidarImageObservations

int Isis::BundleResults::m_numberLidarImageObservations

lidar image coords. (2 per measure)

Referenced by computeDegreesOfFreedom(), initialize(), numberLidarImageObservations(), numberObservations(), operator=(), readGenStatsValues(), and setNumberLidarImageObservations().

◆ m_numberLidarRangeConstraintEquations

int Isis::BundleResults::m_numberLidarRangeConstraintEquations

lidar range constraint equations

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

◆ m_numberObservations

int Isis::BundleResults::m_numberObservations

number of image coordinate observations

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

◆ m_numberRejectedObservations

int Isis::BundleResults::m_numberRejectedObservations

number of rejected image coordinate observations

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

◆ m_numberUnknownParameters

int Isis::BundleResults::m_numberUnknownParameters

total number of parameters to solve for

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

◆ m_observations

BundleObservationVector Isis::BundleResults::m_observations

The vector of BundleObservations from BundleAdjust.

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

◆ m_outLidarData

LidarDataQsp Isis::BundleResults::m_outLidarData

Output lidar data from BundleAdjust.

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

◆ m_outNet

ControlNetQsp Isis::BundleResults::m_outNet

The output control net from BundleAdjust.

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

◆ m_rejectionLimit

double Isis::BundleResults::m_rejectionLimit

current rejection limit

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

◆ m_rmsImageDECSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageDECSigmas

< The root mean square image declination sigmas.

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

◆ m_rmsImageLineResiduals

QList<Statistics> Isis::BundleResults::m_rmsImageLineResiduals

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

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

◆ m_rmsImageRASigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageRASigmas

< The root mean square image right ascension sigmas.

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

◆ m_rmsImageResiduals

QList<Statistics> Isis::BundleResults::m_rmsImageResiduals

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

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

◆ m_rmsImageSampleResiduals

QList<Statistics> Isis::BundleResults::m_rmsImageSampleResiduals

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

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

◆ m_rmsImageTWISTSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageTWISTSigmas

< The root mean square image twist sigmas.

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

◆ m_rmsImageXSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageXSigmas

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

◆ m_rmsImageYSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageYSigmas

< The root mean square image y sigmas.

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

◆ m_rmsImageZSigmas

QVector<Statistics> Isis::BundleResults::m_rmsImageZSigmas

< The root mean square image z sigmas.

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

◆ m_rmsLidarImageLineResiduals

QList<Statistics> Isis::BundleResults::m_rmsLidarImageLineResiduals

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

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

◆ m_rmsLidarImageResiduals

QList<Statistics> Isis::BundleResults::m_rmsLidarImageResiduals

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

The root mean square image x sigmas.

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

◆ m_rmsLidarImageSampleResiduals

QList<Statistics> Isis::BundleResults::m_rmsLidarImageSampleResiduals

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

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

◆ m_rmsSigmaCoord1Stats

double Isis::BundleResults::m_rmsSigmaCoord1Stats

rms of adjusted Latitude sigmas

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

◆ m_rmsSigmaCoord2Stats

double Isis::BundleResults::m_rmsSigmaCoord2Stats

rms of adjusted Longitude sigmas

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

◆ m_rmsSigmaCoord3Stats

double Isis::BundleResults::m_rmsSigmaCoord3Stats

rms of adjusted Radius sigmas

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

◆ m_rmsXResiduals

double Isis::BundleResults::m_rmsXResiduals

rms of x residuals

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

◆ m_rmsXYResiduals

double Isis::BundleResults::m_rmsXYResiduals

rms of all x and y residuals

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

◆ m_rmsYResiduals

double Isis::BundleResults::m_rmsYResiduals

rms of y residuals

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

◆ m_sigma0

double Isis::BundleResults::m_sigma0

std deviation of unit weight

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

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

/Users/chkim/repos/ISIS3/isis/src/control/objs/BundleResults/BundleResults.h
/Users/chkim/repos/ISIS3/isis/src/control/objs/BundleResults/BundleResults.cpp

Public Member Functions

Public Attributes

Detailed Description

Constructor & Destructor Documentation

◆ BundleResults() [1/3]

◆ BundleResults() [2/3]

◆ BundleResults() [3/3]

◆ ~BundleResults()

Member Function Documentation

◆ addProbabilityDistributionObservation() [1/2]

◆ addProbabilityDistributionObservation() [2/2]

◆ addResidualsProbabilityDistributionObservation()

◆ bundleControlPoints()

◆ bundleLidarControlPoints()

◆ computeDegreesOfFreedom()

◆ computeSigma0()

◆ converged()

◆ coordTypeReports()

◆ correlationMatrix()

◆ cumulativeProbabilityDistribution()

◆ degreesOfFreedom()

◆ elapsedTime()

◆ elapsedTimeErrorProp()

◆ incrementFixedPoints()

◆ incrementHeldImages()

◆ incrementIgnoredPoints()

◆ incrementMaximumLikelihoodModelIndex()

◆ incrementNumberConstrainedImageParameters()

◆ incrementNumberConstrainedPointParameters()

◆ incrementNumberConstrainedTargetParameters()

◆ initialize()

◆ initializeProbabilityDistribution()

◆ initializeResidualsProbabilityDistribution()

◆ iterations()

◆ maximumLikelihoodMedianR2Residuals()

◆ maximumLikelihoodModelIndex()

◆ maximumLikelihoodModelQuantile()

◆ maximumLikelihoodModels()

◆ maximumLikelihoodModelWFunc()

◆ maximumLikelihoodSetUp()

◆ maxSigmaCoord1Distance()

◆ maxSigmaCoord1PointId()

◆ maxSigmaCoord2Distance()

◆ maxSigmaCoord2PointId()

◆ maxSigmaCoord3Distance()

◆ maxSigmaCoord3PointId()

◆ minSigmaCoord1Distance()

◆ minSigmaCoord1PointId()

◆ minSigmaCoord2Distance()

◆ minSigmaCoord2PointId()

◆ minSigmaCoord3Distance()

◆ minSigmaCoord3PointId()

◆ numberConstrainedImageParameters()

◆ numberConstrainedPointParameters()

◆ numberConstrainedTargetParameters()

◆ numberFixedPoints()

◆ numberHeldImages()

◆ numberIgnoredPoints()

◆ numberImageObservations()

◆ numberImageParameters()

◆ numberLidarImageObservations()

◆ numberLidarRangeConstraintEquations()

◆ numberMaximumLikelihoodModels()

◆ numberObservations()

◆ numberRejectedObservations()

◆ numberUnknownParameters()

◆ observations()

◆ operator=()

◆ outputControlNet()

◆ outputLidarData()

◆ printMaximumLikelihoodTierInformation()

◆ readBundleResults()

◆ readCorrelationMatrix()

◆ readGenStatsValues()

◆ readImageResidualsLists()

◆ readMaxLikelihoodEstimation()

◆ readMinMaxSigmas()

◆ readRms()

◆ readSigma()

◆ readSigmasLists()