Isis 3 Developer Reference
BundleResults.h
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1 #ifndef BundleResults_h
2 #define BundleResults_h
3 
26 // Qt Library
27 #include <QList>
28 #include <QObject>
29 #include <QPair>
30 #include <QString>
31 #include <QVector>
32 
33 // Isis Library
34 #include "BundleControlPoint.h"
36 #include "BundleSettings.h"
37 #include "ControlNet.h"
38 #include "Distance.h"
40 #include "PvlObject.h"
41 #include "Statistics.h" // ???
42 #include "SurfacePoint.h"
43 #include "XmlStackedHandler.h"
44 
45 // Qt Library
46 class QDataStream;
47 class QUuid;
48 class QXmlStreamWriter;
49 
50 namespace Isis {
51  // Isis Library
52  class ControlNet;
53  class CorrelationMatrix;
54  class FileName;
55  class Project;// ??? does xml stuff need project???
56  class PvlObject;
57  class SerialNumberList;
60 
96  class BundleResults : public QObject {
97  Q_OBJECT
98  public:
99  BundleResults(QObject *parent = 0);
100  // TODO: does xml stuff need project???
101  BundleResults(Project *project, XmlStackedHandlerReader *xmlReader, QObject *parent = 0);
102  BundleResults(const BundleResults &src);
103  ~BundleResults();
105  void initialize();
106 
107  // mutators and computation methods
108  void resizeSigmaStatisticsVectors(int numberImages);
115  void setSigmaCoord1Range(Distance minCoord1Dist, Distance maxCoord1Dist,
116  QString minCoord1PointId, QString maxCoord1PointId);
117  void setSigmaCoord2Range(Distance minCoord2Dist, Distance maxCoord2Dist,
118  QString minCoord2PointId, QString maxCoord2PointId);
119  void setSigmaCoord3Range(Distance minCoord3Dist, Distance maxCoord3Dist,
120  QString minCoord3PointId, QString maxCoord3PointId);
121  void setRmsFromSigmaStatistics(double rmsFromSigmaCoord1Stats,
122  double rmsFromSigmaCoord2Stats,
123  double rmsFromSigmaCoord3Stats);
127  void initializeResidualsProbabilityDistribution(unsigned int nodes = 20);
128  void initializeProbabilityDistribution(unsigned int nodes = 20);
130  void addProbabilityDistributionObservation(double obsValue);
131  void addProbabilityDistributionObservation(double obsValue, bool residuals);
133 
134  void incrementFixedPoints();
135  int numberFixedPoints() const;
136  void incrementHeldImages();
137  int numberHeldImages() const;
138  void incrementIgnoredPoints();
139  int numberIgnoredPoints() const; // currently unused ???
140 #if 0
141  double computeRejectionLimit(ControlNet *p_Cnet,
142  double outlierRejectionMultiplier,
143  int numObservations);
144 #endif
145  void setRejectionLimit(double rejectionLimit);
146 #if 0
147  double computeResiduals(
148  ControlNet *pCnet,
149  std::vector< boost::numeric::ublas::bounded_vector< double, 3 > > pointWeights,
150  std::vector< boost::numeric::ublas::bounded_vector< double, 3 > > pointCorrections,
151  LinearAlgebra::Vector image_Corrections,
152  std::vector< double > imageParameterWeights,
153  int numImagePartials,
154  int rank);
155 #endif
156  void setRmsXYResiduals(double rx, double ry, double rxy);
157 #if 0
158  bool flagOutliers(ControlNet *pCnet);
159 #endif
162  void setNumberImageParameters(int numberParameters); // ??? this is the same value an m_nRank
164  void incrementNumberConstrainedPointParameters(int incrementAmount);
166  void incrementNumberConstrainedImageParameters(int incrementAmount);
168  void incrementNumberConstrainedTargetParameters(int incrementAmount);
169  void setNumberUnknownParameters(int numberParameters);
171  void computeSigma0(double dvtpv, BundleSettings::ConvergenceCriteria criteria);
173  void setSigma0(double sigma0);
174  void setElapsedTime(double time);
175  void setElapsedTimeErrorProp(double time);
176  void setConverged(bool converged); // or initialze method
178  void setOutputControlNet(ControlNetQsp outNet);
179  void setIterations(int iterations);
181 
182  // Accessors...
186  QVector<Statistics> rmsImageXSigmas() const; // currently unused ???
187  QVector<Statistics> rmsImageYSigmas() const; // currently unused ???
188  QVector<Statistics> rmsImageZSigmas() const; // currently unused ???
189  QVector<Statistics> rmsImageRASigmas() const; // currently unused ???
190  QVector<Statistics> rmsImageDECSigmas() const; // currently unused ???
191  QVector<Statistics> rmsImageTWISTSigmas() const; // currently unused ???
192  // *** TODO *** Will we ever want to request a specific coordinate type?
193  // (Lat or X) or just whatever is the designated type?
195 
202  QString maxSigmaCoord1PointId() const;
203  QString minSigmaCoord1PointId() const;
204  QString minSigmaCoord2PointId() const;
205  QString maxSigmaCoord2PointId() const;
206  QString minSigmaCoord3PointId() const;
207  QString maxSigmaCoord3PointId() const;
208  double sigmaCoord1StatisticsRms() const;
209  double sigmaCoord2StatisticsRms() const;
210  double sigmaCoord3StatisticsRms() const;
211 
212  double rmsRx() const; // currently unused ???
213  double rmsRy() const; // currently unused ???
214  double rmsRxy() const; // currently unused ???
215  double rejectionLimit() const;
216  int numberRejectedObservations() const;
217  int numberObservations() const;
218 
219  int numberImageParameters() const; // ??? this is the same value an m_nRank
223  int numberUnknownParameters() const;
224  int degreesOfFreedom() const;
225  double sigma0() const;
226  double elapsedTime() const;
227  double elapsedTimeErrorProp() const;
228  bool converged() const; // or initialze method
231  int iterations() const;
232  const BundleObservationVector &observations() const;
233 
234  int numberMaximumLikelihoodModels() const;
235  int maximumLikelihoodModelIndex() const;
238  double maximumLikelihoodMedianR2Residuals() const;
240  double maximumLikelihoodModelQuantile(int modelIndex) const;
241 
243 
244  bool setNumberHeldImages(SerialNumberList pHeldSnList,
245  SerialNumberList *pSnList);
246 
247  // Correlation Matrix accessors for ipce and mutators for bundle adjust.
249  void setCorrMatCovFileName(FileName name);
251 
252  // TODO: does xml stuff need project???
253  void save(QXmlStreamWriter &stream, const Project *project) const;
254 
255 
256  private:
266  class XmlHandler : public XmlStackedHandler {
267  public:
268  // TODO: does xml stuff need project???
269  XmlHandler(BundleResults *statistics, Project *project);
270  ~XmlHandler();
271 
272  virtual bool startElement(const QString &namespaceURI, const QString &localName,
273  const QString &qName, const QXmlAttributes &atts);
274  virtual bool characters(const QString &ch);
275  virtual bool endElement(const QString &namespaceURI, const QString &localName,
276  const QString &qName);
277 
278  private:
279  Q_DISABLE_COPY(XmlHandler);
280 
281  BundleResults *m_xmlHandlerBundleResults;
282  Project *m_xmlHandlerProject; // TODO: does xml stuff need project???
283  QString m_xmlHandlerCharacters;
284  int m_xmlHandlerResidualsListSize;
285  int m_xmlHandlerSampleResidualsListSize;
286  int m_xmlHandlerLineResidualsListSize;
287  int m_xmlHandlerXSigmasListSize;
288  int m_xmlHandlerYSigmasListSize;
289  int m_xmlHandlerZSigmasListSize;
290  int m_xmlHandlerRASigmasListSize;
291  int m_xmlHandlerDECSigmasListSize;
292  int m_xmlHandlerTWISTSigmasListSize;
293  QList<Statistics *> m_xmlHandlerStatisticsList;
294  StatCumProbDistDynCalc *m_xmlHandlerCumProCalc;
295 
296  QString m_xmlHandlerCorrelationImageId;
297  QStringList m_xmlHandlerCorrelationParameterList;
298  QMap<QString, QStringList> m_xmlHandlerCorrelationMap;
299  };
300 
301  CorrelationMatrix *m_correlationMatrix;
302 
303  int m_numberFixedPoints;
304  // Currently set but unused
305  int m_numberIgnoredPoints;
306  int m_numberHeldImages;
307 
308  // The following three members are set but unused.
309  double m_rmsXResiduals;
310  double m_rmsYResiduals;
311  double m_rmsXYResiduals;
312 
313  double m_rejectionLimit;
314  // TODO:??? reorder read/write data stream, init, copy constructor, operator=
315  int m_numberObservations;
316  int m_numberRejectedObservations;
317  int m_numberUnknownParameters;
318  int m_numberImageParameters;
319  int m_numberConstrainedImageParameters;
320  int m_numberConstrainedPointParameters;
321  int m_numberConstrainedTargetParameters;
322  int m_degreesOfFreedom;
323  double m_sigma0;
324  double m_elapsedTime;
325  double m_elapsedTimeErrorProp;
326  bool m_converged;
327 
328  // Variables for output methods in BundleSolutionInfo
329 
330  QVector<BundleControlPointQsp> m_bundleControlPoints;
338  ControlNetQsp m_outNet;
340  int m_iterations;
342  BundleObservationVector m_observations;
346  //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347  // variables set in computeBundleResults()
348  //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349  // QList??? jigsaw apptest gives - ASSERT failure in QList<T>::operator[]: "index out of range",
350  QList<Statistics> m_rmsImageSampleResiduals;
352  QList<Statistics> m_rmsImageLineResiduals;
354  QList<Statistics> m_rmsImageResiduals;
357  QVector<Statistics> m_rmsImageXSigmas; // unset and unused ???
360  QVector<Statistics> m_rmsImageYSigmas; // unset and unused ???
362  QVector<Statistics> m_rmsImageZSigmas; // unset and unused ???
364  QVector<Statistics> m_rmsImageRASigmas; // unset and unused ???
366  QVector<Statistics> m_rmsImageDECSigmas; // unset and unused ???
368  QVector<Statistics> m_rmsImageTWISTSigmas; // unset and unused ???
369 
370  Distance m_minSigmaCoord1Distance;
371  Distance m_maxSigmaCoord1Distance;
372  Distance m_minSigmaCoord2Distance;
373  Distance m_maxSigmaCoord2Distance;
374  Distance m_minSigmaCoord3Distance;
375  Distance m_maxSigmaCoord3Distance;
376 
377  QString m_minSigmaCoord1PointId;
378  QString m_maxSigmaCoord1PointId;
379  QString m_minSigmaCoord2PointId;
380  QString m_maxSigmaCoord2PointId;
381  QString m_minSigmaCoord3PointId;
382  QString m_maxSigmaCoord3PointId;
383 
384  double m_rmsSigmaCoord1Stats;
385  double m_rmsSigmaCoord2Stats;
386  double m_rmsSigmaCoord3Stats;
387 
388  //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
389  // variables for maximum likelihood estimation
390  //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
391 
393  QList< QPair< MaximumLikelihoodWFunctions, double > > m_maximumLikelihoodFunctions;
394 
406  int m_maximumLikelihoodIndex;
409  StatCumProbDistDynCalc *m_cumPro;
414  StatCumProbDistDynCalc *m_cumProRes;
418  double m_maximumLikelihoodMedianR2Residuals;
420  };
421 
422 };
423 
425 
426 #endif // BundleResults_h
void setObservations(BundleObservationVector observations)
Sets the vector of BundleObservations.
Definition: BundleResults.cpp:854
This class is a container class for BundleObservations.
Definition: BundleObservationVector.h:65
Distance minSigmaCoord2Distance() const
Returns the minimum sigma distance for coordinate 2.
Definition: BundleResults.cpp:977
void incrementFixedPoints()
Increase the number of &#39;fixed&#39; (ground) points.
Definition: BundleResults.cpp:558
void setSigmaCoord1Range(Distance minCoord1Dist, Distance maxCoord1Dist, QString minCoord1PointId, QString maxCoord1PointId)
Sets the min and max sigma distances and point ids for coordinate 1.
Definition: BundleResults.cpp:375
QString maxSigmaCoord3PointId() const
Returns the maximum sigma point id for coordinate 3.
Definition: BundleResults.cpp:1067
The main project for ipce.
Definition: Project.h:289
void setElapsedTime(double time)
Sets the elapsed time for the bundle adjustment.
Definition: BundleResults.cpp:794
int numberObservations() const
Returns the number of observations.
Definition: BundleResults.cpp:1157
void setNumberImageParameters(int numberParameters)
Sets the number of image parameters.
Definition: BundleResults.cpp:658
void setCorrMatCovFileName(FileName name)
Set the covariance file name for the matrix used to calculate the correlation matrix.
Definition: BundleResults.cpp:1414
const BundleObservationVector & observations() const
Returns a reference to the observations used by the BundleAdjust.
Definition: BundleResults.cpp:1304
void setSigmaCoord3Range(Distance minCoord3Dist, Distance maxCoord3Dist, QString minCoord3PointId, QString maxCoord3PointId)
Sets the min and max sigma distances and point ids for coordinate 3.
Definition: BundleResults.cpp:409
This is a container for the correlation matrix that comes from a bundle adjust.
Definition: CorrelationMatrix.h:72
File name manipulation and expansion.
Definition: FileName.h:116
void resetNumberConstrainedPointParameters()
Resets the number of contrained point parameters to 0.
Definition: BundleResults.cpp:666
void save(QXmlStreamWriter &stream, const Project *project) const
Saves the BundleResults object to an XML file.
Definition: BundleResults.cpp:1449
void printMaximumLikelihoodTierInformation()
Prints out information about which tier the solution is in and the status of the residuals.
Definition: BundleResults.cpp:484
QVector< Statistics > rmsImageDECSigmas() const
Returns the list of RMS image declination sigma statistics.
Definition: BundleResults.cpp:937
void incrementNumberConstrainedImageParameters(int incrementAmount)
Increase the number of constrained image parameters.
Definition: BundleResults.cpp:694
double sigmaCoord1StatisticsRms() const
Returns the RMS of the adjusted sigmas for coordinate 1.
Definition: BundleResults.cpp:1077
void setRmsImageResidualLists(QList< Statistics > rmsImageLineResiduals, QList< Statistics > rmsImageSampleResiduals, QList< Statistics > rmsImageResiduals)
Sets the root mean square image residual Statistics lists.
Definition: BundleResults.cpp:358
double sigmaCoord3StatisticsRms() const
Returns the RMS of the adjusted sigmas for coordinate 3.
Definition: BundleResults.cpp:1097
QVector< Statistics > rmsImageZSigmas() const
Returns the list of RMS image z sigma statistics.
Definition: BundleResults.cpp:917
void addProbabilityDistributionObservation(double obsValue)
Adds an observation to the cumulative probability distribution of |R^2 residuals|.
Definition: BundleResults.cpp:530
QString minSigmaCoord1PointId() const
Returns the minimum sigma point id for coordinate 1.
Definition: BundleResults.cpp:1017
void setRmsFromSigmaStatistics(double rmsFromSigmaCoord1Stats, double rmsFromSigmaCoord2Stats, double rmsFromSigmaCoord3Stats)
Sets the root mean square values of the adjusted sigmas for all three coordinates.
Definition: BundleResults.cpp:425
double rejectionLimit() const
Returns the rejection limit.
Definition: BundleResults.cpp:1137
Unless noted otherwise, the portions of Isis written by the USGS are public domain.
void resetNumberConstrainedImageParameters()
Resets the number of constrained image parameters to 0.
Definition: BundleResults.cpp:684
void maximumLikelihoodSetUp(QList< QPair< MaximumLikelihoodWFunctions::Model, double > > modelsWithQuantiles)
This method steps up the maximum likelihood estimation solution.
Definition: BundleResults.cpp:442
int numberFixedPoints() const
Returns the number of &#39;fixed&#39; (ground) points.
Definition: BundleResults.cpp:568
void setOutputControlNet(ControlNetQsp outNet)
Sets the output ControlNet.
Definition: BundleResults.cpp:834
void setNumberUnknownParameters(int numberParameters)
Sets the total number of parameters to solve for.
Definition: BundleResults.cpp:722
void setElapsedTimeErrorProp(double time)
Sets the elapsed time for error propegation.
Definition: BundleResults.cpp:804
Unless noted otherwise, the portions of Isis written by the USGS are public domain.
int maximumLikelihoodModelIndex() const
Returns which step the bundle adjustment is on.
Definition: BundleResults.cpp:1324
QString maxSigmaCoord1PointId() const
Returns the maximum sigma point id for coordinate 1.
Definition: BundleResults.cpp:1027
Distance measurement, usually in meters.
Definition: Distance.h:47
BundleResults & operator=(const BundleResults &src)
Assignment operator for BundleResults.
Definition: BundleResults.cpp:161
Distance maxSigmaCoord3Distance() const
Returns the maximum sigma distance for coordinate 3.
Definition: BundleResults.cpp:1007
ControlNetQsp outputControlNet() const
Returns a shared pointer to the output control network.
Definition: BundleResults.cpp:1279
int numberHeldImages() const
Returns the number of &#39;held&#39; images.
Definition: BundleResults.cpp:586
StatCumProbDistDynCalc cumulativeProbabilityDistribution() const
Returns the cumulative probability distribution of the |R^2 residuals|.
Definition: BundleResults.cpp:1335
void computeDegreesOfFreedom()
Computes the degrees of freedom of the bundle adjustment and stores it internally.
Definition: BundleResults.cpp:730
QVector< BundleControlPointQsp > & bundleControlPoints()
Returns a reference to the BundleControlPoint vector.
Definition: BundleResults.cpp:1267
QVector< Statistics > rmsImageYSigmas() const
Returns the list of RMS image y sigma statistics.
Definition: BundleResults.cpp:907
MaximumLikelihoodWFunctions maximumLikelihoodModelWFunc(int modelIndex) const
Returns the maximum likelihood model at the given index.
Definition: BundleResults.cpp:1367
double rmsRx() const
Returns the RMS of the x residuals.
Definition: BundleResults.cpp:1107
void setRejectionLimit(double rejectionLimit)
Sets the rejection limit.
Definition: BundleResults.cpp:628
double elapsedTime() const
Returns the elapsed time for the bundle adjustment.
Definition: BundleResults.cpp:1237
This class is used to approximate cumulative probibility distributions of a stream of observations wi...
Definition: StatCumProbDistDynCalc.h:79
boost::numeric::ublas::vector< double > Vector
Definition for an Isis::LinearAlgebra::Vector of doubles.
Definition: LinearAlgebra.h:135
void setSigmaCoord2Range(Distance minCoord2Dist, Distance maxCoord2Dist, QString minCoord2PointId, QString maxCoord2PointId)
Sets the min and max sigma distances and point ids for coordinate 2.
Definition: BundleResults.cpp:392
StatCumProbDistDynCalc residualsCumulativeProbabilityDistribution() const
Returns the cumulative probability distribution of the residuals used for reporting.
Definition: BundleResults.cpp:1345
int numberConstrainedImageParameters() const
Returns the number of constrained image parameters.
Definition: BundleResults.cpp:1187
a control network
Definition: ControlNet.h:271
Distance minSigmaCoord3Distance() const
Returns the minimum sigma distance for coordinate 3.
Definition: BundleResults.cpp:997
void setBundleControlPoints(QVector< BundleControlPointQsp > controlPoints)
Sets the bundle control point vector.
Definition: BundleResults.cpp:824
double sigmaCoord2StatisticsRms() const
Returns the RMS of the adjusted sigmas for coordinate 2.
Definition: BundleResults.cpp:1087
void incrementIgnoredPoints()
Increase the number of ignored points.
Definition: BundleResults.cpp:594
double maximumLikelihoodModelQuantile(int modelIndex) const
Returns the quantile of the maximum likelihood model at the given index.
Definition: BundleResults.cpp:1379
void incrementNumberConstrainedPointParameters(int incrementAmount)
Increase the number of contrained point parameters.
Definition: BundleResults.cpp:676
QList< Statistics > rmsImageSampleResiduals() const
Returns the list of RMS image sample residuals statistics.
Definition: BundleResults.cpp:867
QList< QPair< MaximumLikelihoodWFunctions, double > > maximumLikelihoodModels() const
CorrelationMatrix correlationMatrix() const
Returns the Correlation Matrix.
Definition: BundleResults.cpp:1397
XML Handler that parses XMLs in a stack-oriented way.
Definition: XmlStackedHandler.h:112
bool setNumberHeldImages(SerialNumberList pHeldSnList, SerialNumberList *pSnList)
void addResidualsProbabilityDistributionObservation(double obsValue)
Adds an observation to the cumulative probability distribution of residuals used for reporting...
Definition: BundleResults.cpp:541
void resizeSigmaStatisticsVectors(int numberImages)
Resizes all image sigma vectors.
Definition: BundleResults.cpp:329
QVector< Statistics > rmsImageRASigmas() const
Returns the list of RMS image right ascension sigma statistics.
Definition: BundleResults.cpp:927
void computeSigma0(double dvtpv, BundleSettings::ConvergenceCriteria criteria)
Computes the sigma0 and stores it internally.
Definition: BundleResults.cpp:750
Class provides maximum likelihood estimation functions for robust parameter estimation, e.g.
Definition: MaximumLikelihoodWFunctions.h:64
void setNumberRejectedObservations(int numberObservations)
Sets the number of rejected observations.
Definition: BundleResults.cpp:638
QString minSigmaCoord2PointId() const
Returns the minimum sigma point id for coordinate 2.
Definition: BundleResults.cpp:1037
QList< Statistics > rmsImageResiduals() const
Returns the list of RMS image residuals statistics.
Definition: BundleResults.cpp:887
BundleResults(QObject *parent=0)
Constructs a BundleResults object.
Definition: BundleResults.cpp:40
Distance minSigmaCoord1Distance() const
Returns the minimum sigma distance for coordinate 1.
Definition: BundleResults.cpp:957
QVector< Statistics > rmsImageXSigmas() const
Returns the list of RMS image x sigma statistics.
Definition: BundleResults.cpp:897
bool converged() const
Returns whether or not the bundle adjustment converged.
Definition: BundleResults.cpp:1257
double elapsedTimeErrorProp() const
Returns the elapsed time for error propagation.
Definition: BundleResults.cpp:1247
void initializeResidualsProbabilityDistribution(unsigned int nodes=20)
Initializes or resets the cumulative probability distribution of residuals used for reporting...
Definition: BundleResults.cpp:519
double rmsRxy() const
Returns the RMS of the x and y residuals.
Definition: BundleResults.cpp:1127
void setCorrMatImgsAndParams(QMap< QString, QStringList > imgsAndParams)
Set the images and their associated parameters of the correlation matrix.
Definition: BundleResults.cpp:1425
double maximumLikelihoodMedianR2Residuals() const
Returns the median of the |R^2 residuals|.
Definition: BundleResults.cpp:1355
CoordinateType
Defines the coordinate typ, units, and coordinate index for some of the output methods.
Definition: SurfacePoint.h:155
void initializeProbabilityDistribution(unsigned int nodes=20)
Initializes or resets the cumulative probability distribution of |R^2 residuals|. ...
Definition: BundleResults.cpp:509
int numberRejectedObservations() const
Returns the number of observation that were rejected.
Definition: BundleResults.cpp:1147
QList< Statistics > rmsImageLineResiduals() const
Returns the list of RMS image line residuals statistics.
Definition: BundleResults.cpp:877
int numberMaximumLikelihoodModels() const
Returns how many maximum likelihood models were used in the bundle adjustment.
Definition: BundleResults.cpp:1314
QString minSigmaCoord3PointId() const
Returns the minimum sigma point id for coordinate 3.
Definition: BundleResults.cpp:1057
Definition: Calculator.h:33
double rmsRy() const
Returns the RMS of the y residuals.
Definition: BundleResults.cpp:1117
void setNumberObservations(int numberObservations)
Sets the number of observations.
Definition: BundleResults.cpp:648
int numberConstrainedTargetParameters() const
Return the number of constrained target parameters.
Definition: BundleResults.cpp:1197
QVector< Statistics > rmsImageTWISTSigmas() const
Returns the list of RMS image twist sigma statistics.
Definition: BundleResults.cpp:947
void setRmsXYResiduals(double rx, double ry, double rxy)
Sets the root mean square of the x and y residuals.
Definition: BundleResults.cpp:616
void initialize()
Initializes the BundleResults to a default state where all numeric members are set to 0 or another de...
Definition: BundleResults.cpp:237
void incrementMaximumLikelihoodModelIndex()
Increases the value that indicates which stage the maximum likelihood adjustment is currently on...
Definition: BundleResults.cpp:550
Definition: BoxcarCachingAlgorithm.h:29
~BundleResults()
Destroys this BundleResults object.
Definition: BundleResults.cpp:141
Namespace for ISIS/Bullet specific routines.
Definition: Apollo.h:31
void incrementHeldImages()
Increases the number of &#39;held&#39; images.
Definition: BundleResults.cpp:576
A container class for statistical results from a BundleAdjust solution.
Definition: BundleResults.h:96
Distance maxSigmaCoord2Distance() const
Returns the maximum sigma distance for coordinate 2.
Definition: BundleResults.cpp:987
void resetNumberConstrainedTargetParameters()
Resets the number of constrained target parameters to 0.
Definition: BundleResults.cpp:702
void setSigma0(double sigma0)
Sets the sigma0.
Definition: BundleResults.cpp:784
int numberConstrainedPointParameters() const
Returns the number of constrained point parameters.
Definition: BundleResults.cpp:1177
int iterations() const
Returns the number of iterations taken by the BundleAdjust.
Definition: BundleResults.cpp:1294
SurfacePoint::CoordinateType coordTypeReports()
Definition: BundleResults.cpp:1431
QString maxSigmaCoord2PointId() const
Returns the maximum sigma point id for coordinate 2.
Definition: BundleResults.cpp:1047
void incrementNumberConstrainedTargetParameters(int incrementAmount)
Increases the number of constrained target parameters.
Definition: BundleResults.cpp:712
int degreesOfFreedom() const
Returns the degrees of freedom.
Definition: BundleResults.cpp:1217
void setConverged(bool converged)
Sets if the bundle adjustment converged.
Definition: BundleResults.cpp:814
Serial Number list generator.
Definition: SerialNumberList.h:80
Definition: CubeIoHandler.h:39
Contains Pvl Groups and Pvl Objects.
Definition: PvlObject.h:74
void setIterations(int iterations)
Sets the number of iterations taken by the BundleAdjust.
Definition: BundleResults.cpp:844
int numberImageParameters() const
Returns the total number of image parameters.
Definition: BundleResults.cpp:1167
Manage a stack of content handlers for reading XML files.
Definition: XmlStackedHandlerReader.h:25
double sigma0() const
Returns the Sigma0 of the bundle adjustment.
Definition: BundleResults.cpp:1227
Distance maxSigmaCoord1Distance() const
Returns the maximum sigma distance for coordinate 1.
Definition: BundleResults.cpp:967
int numberUnknownParameters() const
Returns the number of unknown parameters.
Definition: BundleResults.cpp:1207
Q_DECLARE_METATYPE(Isis::BundleResults)
int numberIgnoredPoints() const
Returns the number of ignored points.
Definition: BundleResults.cpp:604
ConvergenceCriteria
This enum defines the options for the bundle adjustment&#39;s convergence.
Definition: BundleSettings.h:210
void setDegreesOfFreedom(double degreesOfFreedom)
Sets the degrees of freedom.
Definition: BundleResults.cpp:774