#include <MixtureModelLinearStrategy.h>

Inheritance diagram for te::rp::MixtureModelLinearStrategy:

Classes
class	Parameters
	MixtureModel Parameters. More...

Public Member Functions
bool	execute (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, const std::vector< std::string > &inputSensorBands, const std::map< std::string, std::vector< double > > &components, std::vector< te::rst::Raster * > &outputRaster, const bool normalize, const bool enableProgressInterface) throw (te::rp::Exception)
	Executes the segmentation strategy. More...

bool	generateTransformMatrix (const std::vector< unsigned int > &inputRasterBands, const std::vector< std::string > &inputSensorBands, const std::map< std::string, std::vector< double > > &components)
	Generates the used transformation matrix (when applicable). More...

const std::string &	getErrorMessage () const
	Return the current error message if there is any. More...

bool	getMinMax (std::vector< double > &, std::vector< double > &) const

bool	getMinMaxError (std::vector< double > &, std::vector< double > &) const

bool	getTransformMatrix (boost::numeric::ublas::matrix< double > &matrix) const
	Returns the used transformation matrix (when applicable). More...

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

	MixtureModelLinearStrategy ()

bool	setTransformMatrix (boost::numeric::ublas::matrix< double > &matrix)
	Sets the used transformation matrix. More...

	~MixtureModelLinearStrategy ()

Protected Member Functions
bool	executeLST (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, const std::vector< std::string > &inputSensorBands, const std::map< std::string, std::vector< double > > &components, std::vector< te::rst::Raster * > &outputRaster, const bool normalize, const bool enableProgressInterface) throw (te::rp::Exception)

bool	executeRLS3T (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, const std::vector< std::string > &inputSensorBands, const std::map< std::string, std::vector< double > > &components, std::vector< te::rst::Raster * > &outputRaster, const bool normalize, const bool enableProgressInterface) throw (te::rp::Exception)

virtual void	reset ()
	Reset to an initial state. More...

void	setErrorMessage (const std::string &newErrorMessage)
	Set the current error message. More...

Protected Attributes
boost::numeric::ublas::matrix< double >	m_AMatrix

bool	m_isInitialized
	True if this instance is initialized. More...

std::vector< double >	m_max
	Maximum value. More...

std::vector< double >	m_maxerror
	Maximum error value. More...

std::vector< double >	m_min
	A matrix. More...

std::vector< double >	m_minerror
	Minimun error value. More...

MixtureModelLinearStrategy::Parameters	m_parameters
	Internal execution parameters. More...

Private Attributes
std::string	m_errorMessage
	Current error message. More...

Detailed Description

Note: The transformation matrix (A) returned by getTransformMatrix by definition: A * X = R, we have A, so that X = inv(A' * A) * A' * R where A is the set of known reflectances for each component, R is the reflectances of a specific pixel and X is the proportion of each component.; Reference: Modelo Linear de Mistura Espectral Conceitos Teóricos, Algoritmos e Aplicações em Estudos na Amazônia Legal Linear Spectral Mixing Model, Theoretical Concepts, Algorithms and Applications in Studies in the Legal Amazon, Yosio Edemir Shimabukuro , Andeise Cerqueira Dutra e Egidio Arai.; Reference: Utilização de atributos derivados de proporções de classes dentro de um elemento de resolução de imagem pixel na classificação multiespectral de imagens de sensoriamento remoto, Ana Paula Dutra de Aguiar, Junho 1991.

Definition at line 56 of file MixtureModelLinearStrategy.h.

Constructor & Destructor Documentation

◆ MixtureModelLinearStrategy()

te::rp::MixtureModelLinearStrategy::MixtureModelLinearStrategy ( )

◆ ~MixtureModelLinearStrategy()

te::rp::MixtureModelLinearStrategy::~MixtureModelLinearStrategy ( )

Member Function Documentation

◆ execute()

bool te::rp::MixtureModelLinearStrategy::execute	(	const te::rst::Raster &	inputRaster,
		const std::vector< unsigned int > &	inputRasterBands,
		const std::vector< std::string > &	inputSensorBands,
		const std::map< std::string, std::vector< double > > &	components,
		std::vector< te::rst::Raster * > &	outputRaster,
		const bool	normalize,
		const bool	enableProgressInterface
	)
throw	(	te::rp::Exception
	)

virtual

Executes the segmentation strategy.

Parameters

inputRaster	Input raster.
inputRasterBands	Input raster bands.
components	The set of endmembers and its radiances.
outputRaster	Output raster vector, contains output raster and error raster if requested.
enableProgressInterface	Enable the internal strategy to update the progress interface.

Returns: true if OK, false on errors.

Implements te::rp::MixtureModelStrategy.

◆ executeLST()

bool te::rp::MixtureModelLinearStrategy::executeLST	(	const te::rst::Raster &	inputRaster,
		const std::vector< unsigned int > &	inputRasterBands,
		const std::vector< std::string > &	inputSensorBands,
		const std::map< std::string, std::vector< double > > &	components,
		std::vector< te::rst::Raster * > &	outputRaster,
		const bool	normalize,
		const bool	enableProgressInterface
	)
throw	(	te::rp::Exception
	)

protected

◆ executeRLS3T()

bool te::rp::MixtureModelLinearStrategy::executeRLS3T	(	const te::rst::Raster &	inputRaster,
		const std::vector< unsigned int > &	inputRasterBands,
		const std::vector< std::string > &	inputSensorBands,
		const std::map< std::string, std::vector< double > > &	components,
		std::vector< te::rst::Raster * > &	outputRaster,
		const bool	normalize,
		const bool	enableProgressInterface
	)
throw	(	te::rp::Exception
	)

protected

◆ generateTransformMatrix()

bool te::rp::MixtureModelLinearStrategy::generateTransformMatrix	(	const std::vector< unsigned int > &	inputRasterBands,
		const std::vector< std::string > &	inputSensorBands,
		const std::map< std::string, std::vector< double > > &	components
	)

virtual

Generates the used transformation matrix (when applicable).

Parameters

inputRasterBands	Input raster bands.
inputSensorBands	Input names of the sensor/bands.
components	A set of endmembers and its radiances.

Returns: true if OK, false on errors or not applicable cases.

Implements te::rp::MixtureModelStrategy.

◆ getErrorMessage()

const std::string& te::rp::MixtureModelStrategy::getErrorMessage ( ) const

inherited

Return the current error message if there is any.

Returns: Return the current error message if there is any.

◆ getMinMax()

bool te::rp::MixtureModelLinearStrategy::getMinMax	(	std::vector< double > &	,
		std::vector< double > &
	)		const

virtual

Implements te::rp::MixtureModelStrategy.

◆ getMinMaxError()

bool te::rp::MixtureModelLinearStrategy::getMinMaxError	(	std::vector< double > &	,
		std::vector< double > &
	)		const

virtual

Implements te::rp::MixtureModelStrategy.

◆ getTransformMatrix()

bool te::rp::MixtureModelLinearStrategy::getTransformMatrix ( boost::numeric::ublas::matrix< double > & matrix ) const

virtual

Returns the used transformation matrix (when applicable).

Parameters

matrix The transformation matrix.

Returns: true if OK, false on errors or not applicable cases.

Implements te::rp::MixtureModelStrategy.

◆ initialize()

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

virtual

Initialize the segmentation strategy.

Parameters

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

Returns: true if OK, false on errors.

Implements te::rp::MixtureModelStrategy.

◆ reset()

virtual void te::rp::MixtureModelStrategy::reset ( )

protectedvirtualinherited

Reset to an initial state.

◆ setErrorMessage()

void te::rp::MixtureModelStrategy::setErrorMessage ( const std::string & newErrorMessage )

protectedinherited

Set the current error message.

Parameters

newErrorMessage New error message;

◆ setTransformMatrix()

bool te::rp::MixtureModelLinearStrategy::setTransformMatrix ( boost::numeric::ublas::matrix< double > & matrix )

virtual

Sets the used transformation matrix.

Parameters

matrix The transformation matrix.

Returns: true if OK, false on errors or not applicable cases.

Implements te::rp::MixtureModelStrategy.

Member Data Documentation

◆ m_AMatrix

boost::numeric::ublas::matrix<double> te::rp::MixtureModelLinearStrategy::m_AMatrix

protected

Definition at line 129 of file MixtureModelLinearStrategy.h.

◆ m_errorMessage

std::string te::rp::MixtureModelStrategy::m_errorMessage

privateinherited

Current error message.

Definition at line 134 of file MixtureModelStrategy.h.

◆ m_isInitialized

bool te::rp::MixtureModelLinearStrategy::m_isInitialized

protected

True if this instance is initialized.

Definition at line 127 of file MixtureModelLinearStrategy.h.

◆ m_max

std::vector<double> te::rp::MixtureModelLinearStrategy::m_max

protected

Maximum value.

Definition at line 131 of file MixtureModelLinearStrategy.h.

◆ m_maxerror

std::vector<double> te::rp::MixtureModelLinearStrategy::m_maxerror

protected

Maximum error value.

Definition at line 133 of file MixtureModelLinearStrategy.h.

◆ m_min

std::vector<double> te::rp::MixtureModelLinearStrategy::m_min

protected

A matrix.

Minimun value

Definition at line 130 of file MixtureModelLinearStrategy.h.

◆ m_minerror

std::vector<double> te::rp::MixtureModelLinearStrategy::m_minerror

protected

Minimun error value.

Definition at line 132 of file MixtureModelLinearStrategy.h.

◆ m_parameters

MixtureModelLinearStrategy::Parameters te::rp::MixtureModelLinearStrategy::m_parameters

protected

Internal execution parameters.

Definition at line 128 of file MixtureModelLinearStrategy.h.

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

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

Classes

Public Member Functions

Protected Member Functions

Protected Attributes

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ MixtureModelLinearStrategy()

◆ ~MixtureModelLinearStrategy()

Member Function Documentation

◆ execute()

◆ executeLST()

◆ executeRLS3T()

◆ generateTransformMatrix()

◆ getErrorMessage()

◆ getMinMax()

◆ getMinMaxError()

◆ getTransformMatrix()

◆ initialize()

◆ reset()

◆ setErrorMessage()

◆ setTransformMatrix()

Member Data Documentation

◆ m_AMatrix

◆ m_errorMessage

◆ m_isInitialized

◆ m_max

◆ m_maxerror

◆ m_min

◆ m_minerror

◆ m_parameters