Wishart model data manipulation. More...

#include <WishartModel.h>

Public Types
typedef unsigned int	ClassIDT
	Class ID type definiton. More...

typedef std::vector< ClassSampleT >	ClassSamplesContainerT
	Class samples container type definition. More...

typedef std::vector< WishartFeatureType >	ClassSampleT
	Class sample type definition. More...

typedef std::map< ClassIDT, ClassSamplesContainerT >	MClassesSamplesCT
	Multi-classes samples container type definition. More...

typedef boost::shared_ptr< MClassesSamplesCT >	MClassesSamplesCTPtr
	A shared pointer to a multi classes samples container type definition. More...

Public Member Functions
bool	CalculatingSigmaClass (void)

bool	CalculatingSigmaRegion (void)

boost::numeric::ublas::matrix< WishartFeatureType >	checkCovarianceMatrix (boost::numeric::ublas::matrix< WishartFeatureType >)

bool	CreatingCovarianceRaster (void)

bool	execute (void)

bool	GettingAttributes (void)

bool	GettingCompleteSigmaMatrixes (void)

bool	LoadingSamples (void)

	WishartModel ()
	Constructor. More...

	~WishartModel ()
	Destructor. More...

Public Attributes
double	m_betaValue
	Beta value for Renyi distance type. More...

std::vector< unsigned int >	m_classesIDT
	Training class ID. More...

std::vector< unsigned int >	m_classesIndex2ID
	A class index ordered vector of classes IDs for Sigma parameter. More...

double	m_ENL
	Equivalent Number Look type. More...

te::rst::Raster *	m_inputRasterPtr
	Input raster. More...

std::vector< unsigned int >	m_inputRastersBands
	Bands to process. More...

unsigned int	m_lagX
	The horizontal correlation value. More...

unsigned int	m_lagY
	The vertical correlation value. More...

unsigned int	m_numberOfColumns
	Number of columns that all input rasters must have. More...

unsigned int	m_numberOfRows
	Number of rows that all input rasters must have. More...

std::vector< int >	m_numberOfSamples

std::vector< te::gm::Polygon >	m_polygonSamplesT
	Training samples polygons. More...

std::vector< std::vector< double > >	m_polygonSamplesTNew
	Training samples polygons. More...

std::vector< te::gm::Polygon * >	m_polygonsSegImage
	Polygons of segmented image. More...

std::vector< std::vector< double > >	m_pValue
	P-values container. More...

std::string	m_radarDataRepresentationType
	The radar data representation container (covarianceMatrix,lexicographicVector). More...

std::vector< double >	m_regionsSize
	Size of regions. More...

std::vector< double >	m_samplesSize
	Size of sample containers. More...

ClassSamplesContainerT	m_sigmaClassesParameter
	Sigma classes parameter. More...

std::vector< boost::numeric::ublas::matrix< WishartFeatureType > >	m_sigmaClassesParameterMatrix
	Sigma classes parameter matrix. More...

ClassSamplesContainerT	m_sigmaRegionsParameter
	Sigma regions parameter. More...

std::vector< boost::numeric::ublas::matrix< WishartFeatureType > >	m_sigmaRegionsParameterMatrix
	Sigma regions parameter matrix. More...

double	m_significanceLevel
	The significance level. More...

std::vector< std::vector< double > >	m_statisticalTest
	Statistical test container. More...

std::vector< std::vector< double > >	m_stochasticDistance
	Stochastic distance container. More...

std::string	m_stochasticDistanceType
	The stochastic distance type definition. More...

MClassesSamplesCTPtr	m_trainSamplesPtr
	A shared pointer to a always-valid structure where training samples are stored. More...

unsigned int	m_vectorOrMatrixOrder
	The lexicographic vector and covariance matrix order. More...

Detailed Description

Wishart model data manipulation.

Definition at line 52 of file WishartModel.h.

Member Typedef Documentation

◆ ClassIDT

typedef unsigned int te::rp::radar::WishartModel::ClassIDT

Class ID type definiton.

Definition at line 72 of file WishartModel.h.

◆ ClassSamplesContainerT

typedef std::vector< ClassSampleT > te::rp::radar::WishartModel::ClassSamplesContainerT

Class samples container type definition.

Definition at line 76 of file WishartModel.h.

◆ ClassSampleT

typedef std::vector< WishartFeatureType > te::rp::radar::WishartModel::ClassSampleT

Class sample type definition.

Definition at line 74 of file WishartModel.h.

◆ MClassesSamplesCT

typedef std::map< ClassIDT, ClassSamplesContainerT > te::rp::radar::WishartModel::MClassesSamplesCT

Multi-classes samples container type definition.

Definition at line 78 of file WishartModel.h.

◆ MClassesSamplesCTPtr

typedef boost::shared_ptr< MClassesSamplesCT > te::rp::radar::WishartModel::MClassesSamplesCTPtr

A shared pointer to a multi classes samples container type definition.

Definition at line 80 of file WishartModel.h.

Constructor & Destructor Documentation

◆ WishartModel()

te::rp::radar::WishartModel::WishartModel ( )

Constructor.

◆ ~WishartModel()

te::rp::radar::WishartModel::~WishartModel ( )

Destructor.

Member Function Documentation

◆ CalculatingSigmaClass()

bool te::rp::radar::WishartModel::CalculatingSigmaClass ( void )

◆ CalculatingSigmaRegion()

bool te::rp::radar::WishartModel::CalculatingSigmaRegion ( void )

◆ checkCovarianceMatrix()

boost::numeric::ublas::matrix< WishartFeatureType > te::rp::radar::WishartModel::checkCovarianceMatrix ( boost::numeric::ublas::matrix< WishartFeatureType > )

◆ CreatingCovarianceRaster()

bool te::rp::radar::WishartModel::CreatingCovarianceRaster ( void )

◆ execute()

bool te::rp::radar::WishartModel::execute ( void )

◆ GettingAttributes()

bool te::rp::radar::WishartModel::GettingAttributes ( void )

◆ GettingCompleteSigmaMatrixes()

bool te::rp::radar::WishartModel::GettingCompleteSigmaMatrixes ( void )

◆ LoadingSamples()

bool te::rp::radar::WishartModel::LoadingSamples ( void )

Member Data Documentation

◆ m_betaValue

double te::rp::radar::WishartModel::m_betaValue

Beta value for Renyi distance type.

Definition at line 105 of file WishartModel.h.

◆ m_classesIDT

std::vector< unsigned int > te::rp::radar::WishartModel::m_classesIDT

Training class ID.

Definition at line 70 of file WishartModel.h.

◆ m_classesIndex2ID

std::vector< unsigned int > te::rp::radar::WishartModel::m_classesIndex2ID

A class index ordered vector of classes IDs for Sigma parameter.

Definition at line 89 of file WishartModel.h.

◆ m_ENL

double te::rp::radar::WishartModel::m_ENL

Equivalent Number Look type.

Definition at line 99 of file WishartModel.h.

◆ m_inputRasterPtr

te::rst::Raster* te::rp::radar::WishartModel::m_inputRasterPtr

Input raster.

Definition at line 56 of file WishartModel.h.

◆ m_inputRastersBands

std::vector< unsigned int > te::rp::radar::WishartModel::m_inputRastersBands

Bands to process.

Definition at line 58 of file WishartModel.h.

◆ m_lagX

unsigned int te::rp::radar::WishartModel::m_lagX

The horizontal correlation value.

Definition at line 101 of file WishartModel.h.

◆ m_lagY

unsigned int te::rp::radar::WishartModel::m_lagY

The vertical correlation value.

Definition at line 103 of file WishartModel.h.

◆ m_numberOfColumns

unsigned int te::rp::radar::WishartModel::m_numberOfColumns

Number of columns that all input rasters must have.

Definition at line 60 of file WishartModel.h.

◆ m_numberOfRows

unsigned int te::rp::radar::WishartModel::m_numberOfRows

Number of rows that all input rasters must have.

Definition at line 62 of file WishartModel.h.

◆ m_numberOfSamples

std::vector< int > te::rp::radar::WishartModel::m_numberOfSamples

Definition at line 68 of file WishartModel.h.

◆ m_polygonSamplesT

std::vector< te::gm::Polygon > te::rp::radar::WishartModel::m_polygonSamplesT

Training samples polygons.

Definition at line 66 of file WishartModel.h.

◆ m_polygonSamplesTNew

std::vector< std::vector< double > > te::rp::radar::WishartModel::m_polygonSamplesTNew

Training samples polygons.

Definition at line 67 of file WishartModel.h.

◆ m_polygonsSegImage

std::vector< te::gm::Polygon* > te::rp::radar::WishartModel::m_polygonsSegImage

Polygons of segmented image.

Definition at line 64 of file WishartModel.h.

◆ m_pValue

std::vector< std::vector< double > > te::rp::radar::WishartModel::m_pValue

P-values container.

Definition at line 116 of file WishartModel.h.

◆ m_radarDataRepresentationType

std::string te::rp::radar::WishartModel::m_radarDataRepresentationType

The radar data representation container (covarianceMatrix,lexicographicVector).

Definition at line 95 of file WishartModel.h.

◆ m_regionsSize

std::vector< double > te::rp::radar::WishartModel::m_regionsSize

Size of regions.

Definition at line 118 of file WishartModel.h.

◆ m_samplesSize

std::vector< double > te::rp::radar::WishartModel::m_samplesSize

Size of sample containers.

Definition at line 120 of file WishartModel.h.

◆ m_sigmaClassesParameter

ClassSamplesContainerT te::rp::radar::WishartModel::m_sigmaClassesParameter

Sigma classes parameter.

Definition at line 84 of file WishartModel.h.

◆ m_sigmaClassesParameterMatrix

std::vector< boost::numeric::ublas::matrix< WishartFeatureType > > te::rp::radar::WishartModel::m_sigmaClassesParameterMatrix

Sigma classes parameter matrix.

Definition at line 86 of file WishartModel.h.

◆ m_sigmaRegionsParameter

ClassSamplesContainerT te::rp::radar::WishartModel::m_sigmaRegionsParameter

Sigma regions parameter.

Definition at line 91 of file WishartModel.h.

◆ m_sigmaRegionsParameterMatrix

std::vector< boost::numeric::ublas::matrix< WishartFeatureType > > te::rp::radar::WishartModel::m_sigmaRegionsParameterMatrix

Sigma regions parameter matrix.

Definition at line 93 of file WishartModel.h.

◆ m_significanceLevel

double te::rp::radar::WishartModel::m_significanceLevel

The significance level.

Definition at line 107 of file WishartModel.h.

◆ m_statisticalTest

std::vector< std::vector< double > > te::rp::radar::WishartModel::m_statisticalTest

Statistical test container.

Definition at line 114 of file WishartModel.h.

◆ m_stochasticDistance

std::vector< std::vector< double > > te::rp::radar::WishartModel::m_stochasticDistance

Stochastic distance container.

Definition at line 112 of file WishartModel.h.

◆ m_stochasticDistanceType

std::string te::rp::radar::WishartModel::m_stochasticDistanceType

The stochastic distance type definition.

Definition at line 109 of file WishartModel.h.

◆ m_trainSamplesPtr

MClassesSamplesCTPtr te::rp::radar::WishartModel::m_trainSamplesPtr

A shared pointer to a always-valid structure where training samples are stored.

Definition at line 82 of file WishartModel.h.

◆ m_vectorOrMatrixOrder

unsigned int te::rp::radar::WishartModel::m_vectorOrMatrixOrder

The lexicographic vector and covariance matrix order.

Definition at line 97 of file WishartModel.h.

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

/home/castejon/castejon_files/develop/terralib5/git_release/src/terralib/rp/radar/WishartModel.h

Public Types

Public Member Functions

Public Attributes