Gamma model data manipulation. More...

#include <GammaModel.h>

Public Types
typedef unsigned int	ClassIDT
	CLass ID type definiton.

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

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

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

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

Public Member Functions
bool	CalculatingLambdaClass (void)

bool	CalculatingLambdaRegion (void)

bool	execute (void)

	GammaModel ()
	Constructor.

bool	GettingStatisticalTests (void)

bool	GettingStochasticDistances (void)

bool	LoadingSamples (void)

	~GammaModel ()
	Destructor.

Public Attributes
double	m_betaValue
	Beta value for Renyi distance type.

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

std::vector< ClassIDT >	m_classesIndex2IDLambda
	A class index ordered vector of classes IDs for Lambda parameter.

double	m_ENL
	Equivalent Number Look type.

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

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

unsigned int	m_lagX
	The horizontal correlation value.

unsigned int	m_lagY
	The vertical correlation value.

std::vector< std::vector< double > >	m_lambdaClassesParameters
	Lambda classes parameter.

std::vector< double >	m_lambdaRegionsParameters
	Lambda regions parameter.

std::vector< int >	m_numberOfSamples

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

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

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

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

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

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

double	m_significanceLevel
	The significance level.

unsigned int	m_sourcesNumber
	Number of sources.

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

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

std::string	m_stochasticDistanceType
	The stochastic distance type definition.

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

Detailed Description

Gamma model data manipulation.

Definition at line 49 of file GammaModel.h.

Member Typedef Documentation

◆ ClassIDT

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

CLass ID type definiton.

Definition at line 61 of file GammaModel.h.

◆ ClassSamplesContainerT

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

Class samples container type definition.

Definition at line 71 of file GammaModel.h.

◆ ClassSampleT

typedef std::vector< double > te::rp::radar::GammaModel::ClassSampleT

Class sample type definition.

Definition at line 69 of file GammaModel.h.

◆ MClassesSamplesCT

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

Multi-classes samples container type definition.

Definition at line 73 of file GammaModel.h.

◆ MClassesSamplesCTPtr

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

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

Definition at line 75 of file GammaModel.h.

Constructor & Destructor Documentation

◆ GammaModel()

te::rp::radar::GammaModel::GammaModel ( )

Constructor.

◆ ~GammaModel()

te::rp::radar::GammaModel::~GammaModel ( )

Destructor.

Member Function Documentation

◆ CalculatingLambdaClass()

bool te::rp::radar::GammaModel::CalculatingLambdaClass ( void )

◆ CalculatingLambdaRegion()

bool te::rp::radar::GammaModel::CalculatingLambdaRegion ( void )

◆ execute()

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

◆ GettingStatisticalTests()

bool te::rp::radar::GammaModel::GettingStatisticalTests ( void )

◆ GettingStochasticDistances()

bool te::rp::radar::GammaModel::GettingStochasticDistances ( void )

◆ LoadingSamples()

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

Member Data Documentation

◆ m_betaValue

double te::rp::radar::GammaModel::m_betaValue

Beta value for Renyi distance type.

Definition at line 101 of file GammaModel.h.

◆ m_classesIDT

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

Training class ID.

Definition at line 63 of file GammaModel.h.

◆ m_classesIndex2IDLambda

std::vector< ClassIDT > te::rp::radar::GammaModel::m_classesIndex2IDLambda

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

Definition at line 79 of file GammaModel.h.

◆ m_ENL

double te::rp::radar::GammaModel::m_ENL

Equivalent Number Look type.

Definition at line 85 of file GammaModel.h.

◆ m_inputRasterPtr

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

Input raster.

Definition at line 55 of file GammaModel.h.

◆ m_inputRastersBands

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

Bands to process.

Definition at line 57 of file GammaModel.h.

◆ m_lagX

unsigned int te::rp::radar::GammaModel::m_lagX

The horizontal correlation value.

Definition at line 87 of file GammaModel.h.

◆ m_lagY

unsigned int te::rp::radar::GammaModel::m_lagY

The vertical correlation value.

Definition at line 89 of file GammaModel.h.

◆ m_lambdaClassesParameters

std::vector< std::vector< double > > te::rp::radar::GammaModel::m_lambdaClassesParameters

Lambda classes parameter.

Definition at line 81 of file GammaModel.h.

◆ m_lambdaRegionsParameters

std::vector< double > te::rp::radar::GammaModel::m_lambdaRegionsParameters

Lambda regions parameter.

Definition at line 83 of file GammaModel.h.

◆ m_numberOfSamples

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

Definition at line 67 of file GammaModel.h.

◆ m_polygonSamplesT

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

Training samples polygons.

Definition at line 65 of file GammaModel.h.

◆ m_polygonSamplesTNew

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

Training samples polygons.

Definition at line 66 of file GammaModel.h.

◆ m_polygonsSegImage

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

Polygons of segmented image.

Definition at line 59 of file GammaModel.h.

◆ m_pValue

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

P-values container.

Definition at line 99 of file GammaModel.h.

◆ m_regionsSize

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

Size of regions.

Definition at line 103 of file GammaModel.h.

◆ m_samplesSize

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

Size of sample containers.

Definition at line 105 of file GammaModel.h.

◆ m_significanceLevel

double te::rp::radar::GammaModel::m_significanceLevel

The significance level.

Definition at line 91 of file GammaModel.h.

◆ m_sourcesNumber

unsigned int te::rp::radar::GammaModel::m_sourcesNumber

Number of sources.

Definition at line 53 of file GammaModel.h.

◆ m_statisticalTest

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

Statistical test container.

Definition at line 97 of file GammaModel.h.

◆ m_stochasticDistance

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

Stochastic distance container.

Definition at line 95 of file GammaModel.h.

◆ m_stochasticDistanceType

std::string te::rp::radar::GammaModel::m_stochasticDistanceType

The stochastic distance type definition.

Definition at line 93 of file GammaModel.h.

◆ m_trainSamplesPtr

MClassesSamplesCTPtr te::rp::radar::GammaModel::m_trainSamplesPtr

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

Definition at line 77 of file GammaModel.h.

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

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

Public Types

Public Member Functions

Public Attributes