Maximum a posteriori probability strategy. More...

#include <ClassifierMAPStrategy.h>

Inheritance diagram for te::rp::ClassifierMAPStrategy:

Classes
class	Parameters
	Classifier Parameters. More...

Public Member Functions
	ClassifierMAPStrategy ()

bool	execute (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, const std::vector< te::gm::Polygon * > &inputPolygons, te::rst::Raster &outputRaster, const unsigned int outputRasterBand, const bool enableProgressInterface) throw (te::rp::Exception)
	Executes the classification strategy. More...

bool	initialize (StrategyParameters const *const strategyParams) throw (te::rp::Exception)
	Initialize the classification strategy. More...

	~ClassifierMAPStrategy ()

Protected Member Functions
bool	getPrioriProbabilities (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, te::common::TaskProgress *const progressPtr, std::vector< double > &prioriProbabilities) const
	Calcule of priori probabilities following the current internal state. More...

Protected Attributes
std::vector< boost::numeric::ublas::matrix< double > >	m_classesCovarianceInvMatrixes
	Classes covariance inverse matrixes. More...

std::vector< boost::numeric::ublas::matrix< double > >	m_classesCovarianceMatrixes
	Classes covariance matrixes. More...

std::vector< Parameters::ClassIDT >	m_classesIndex2ID
	An class index ordered vector of classes IDs;. More...

std::vector< std::vector< double > >	m_classesMeans
	Classes means;. More...

std::vector< double >	m_classesOptizedMAPDiscriminantTerm
	An optimized portion of the MAP discriminant function. More...

ClassifierMAPStrategy::Parameters	m_initParams
	Initialization parameters. More...

bool	m_isInitialized
	Is this instance initialized? More...

Detailed Description

Maximum a posteriori probability strategy.

Definition at line 50 of file ClassifierMAPStrategy.h.

Constructor & Destructor Documentation

te::rp::ClassifierMAPStrategy::ClassifierMAPStrategy ( )

Definition at line 76 of file ClassifierMAPStrategy.cpp.

References m_isInitialized.

te::rp::ClassifierMAPStrategy::~ClassifierMAPStrategy ( )

Definition at line 81 of file ClassifierMAPStrategy.cpp.

Member Function Documentation

bool te::rp::ClassifierMAPStrategy::execute	(	const te::rst::Raster &	inputRaster,
		const std::vector< unsigned int > &	inputRasterBands,
		const std::vector< te::gm::Polygon * > &	inputPolygons,
		te::rst::Raster &	outputRaster,
		const unsigned int	outputRasterBand,
		const bool	enableProgressInterface
	)
throw	(	te::rp::Exception
	)

virtual

Executes the classification strategy.

Parameters

inputRaster	Input raster.
inputRasterBands	Input raster bands.
inputPolygons	The polygons to be classified when using object-based image analysis (OBIA).
outputRaster	Output raster.
outputRasterBand	Output raster band.
enableProgressInterface	Enable the internal strategy to update the progress interface.

Returns: true if OK, false on errors.

Implements te::rp::ClassifierStrategy.

Definition at line 269 of file ClassifierMAPStrategy.cpp.

References getPrioriProbabilities(), m_classesCovarianceInvMatrixes, m_classesIndex2ID, m_classesMeans, m_classesOptizedMAPDiscriminantTerm, m_initParams, m_isInitialized, te::rp::ClassifierMAPStrategy::Parameters::m_prioriCalcSampleStep, te::rp::ClassifierMAPStrategy::Parameters::m_prioriProbs, TERP_DEBUG_TRUE_OR_THROW, and TERP_TRUE_OR_RETURN_FALSE.

bool te::rp::ClassifierMAPStrategy::getPrioriProbabilities	(	const te::rst::Raster &	inputRaster,
		const std::vector< unsigned int > &	inputRasterBands,
		te::common::TaskProgress *const	progressPtr,
		std::vector< double > &	prioriProbabilities
	)		const

protected

Calcule of priori probabilities following the current internal state.

Parameters

inputRaster	Input raster.
inputRasterBands	Input raster bands.
progressPtr	A pointer to a progress interface, or a null pointer if no progress must be updated.
prioriProbabilities	The calculated probabilities.

Returns: true if ok, false on errors.

Definition at line 402 of file ClassifierMAPStrategy.cpp.

References te::rst::Raster::getNumberOfBands(), te::rst::Raster::getNumberOfColumns(), te::rst::Raster::getNumberOfRows(), te::rst::Raster::getValue(), te::common::TaskProgress::isActive(), m_classesCovarianceInvMatrixes, m_classesMeans, m_classesOptizedMAPDiscriminantTerm, m_initParams, m_isInitialized, te::rp::ClassifierMAPStrategy::Parameters::m_prioriCalcSampleStep, te::common::TaskProgress::pulse(), and TERP_DEBUG_TRUE_OR_THROW.

Referenced by execute().

bool te::rp::ClassifierMAPStrategy::initialize	(	StrategyParameters const *const	strategyParams	)
throw	(	te::rp::Exception
	)

virtual

Initialize the classification strategy.

Parameters

strategyParams A pointer to the user given specific classification strategy parameters ou NULL if no parameters are present.

Returns: true if OK, false on errors.

Implements te::rp::ClassifierStrategy.

Definition at line 85 of file ClassifierMAPStrategy.cpp.

References te::common::GetDeterminant(), te::common::GetInverseMatrix(), m_classesCovarianceInvMatrixes, m_classesCovarianceMatrixes, m_classesIndex2ID, m_classesMeans, m_classesOptizedMAPDiscriminantTerm, m_initParams, m_isInitialized, te::rp::ClassifierMAPStrategy::Parameters::m_prioriCalcSampleStep, te::rp::ClassifierMAPStrategy::Parameters::m_prioriProbs, te::rp::ClassifierMAPStrategy::Parameters::m_trainSamplesPtr, te::rp::ClassifierMAPStrategy::Parameters::reset(), and TERP_TRUE_OR_RETURN_FALSE.

Member Data Documentation

std::vector< boost::numeric::ublas::matrix< double > > te::rp::ClassifierMAPStrategy::m_classesCovarianceInvMatrixes

protected

Classes covariance inverse matrixes.

Definition at line 117 of file ClassifierMAPStrategy.h.

Referenced by execute(), getPrioriProbabilities(), and initialize().

std::vector< boost::numeric::ublas::matrix< double > > te::rp::ClassifierMAPStrategy::m_classesCovarianceMatrixes

protected

Classes covariance matrixes.

Definition at line 115 of file ClassifierMAPStrategy.h.

Referenced by initialize().

std::vector< Parameters::ClassIDT > te::rp::ClassifierMAPStrategy::m_classesIndex2ID

protected

An class index ordered vector of classes IDs;.

Definition at line 111 of file ClassifierMAPStrategy.h.

Referenced by execute(), and initialize().

std::vector< std::vector< double > > te::rp::ClassifierMAPStrategy::m_classesMeans

protected

Classes means;.

Definition at line 113 of file ClassifierMAPStrategy.h.

Referenced by execute(), getPrioriProbabilities(), and initialize().

std::vector< double > te::rp::ClassifierMAPStrategy::m_classesOptizedMAPDiscriminantTerm

protected

An optimized portion of the MAP discriminant function.

Definition at line 119 of file ClassifierMAPStrategy.h.

Referenced by execute(), getPrioriProbabilities(), and initialize().

ClassifierMAPStrategy::Parameters te::rp::ClassifierMAPStrategy::m_initParams

protected

Initialization parameters.

Definition at line 109 of file ClassifierMAPStrategy.h.

Referenced by execute(), getPrioriProbabilities(), and initialize().

bool te::rp::ClassifierMAPStrategy::m_isInitialized

protected

Is this instance initialized?

Definition at line 107 of file ClassifierMAPStrategy.h.

Referenced by ClassifierMAPStrategy(), execute(), getPrioriProbabilities(), and initialize().

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

/home/castejon/castejon_files/develop/terralib5/git_master/terralib5/src/terralib/rp/ClassifierMAPStrategy.h
/home/castejon/castejon_files/develop/terralib5/git_master/terralib5/src/terralib/rp/ClassifierMAPStrategy.cpp

Classes

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation