Spectral Angle Mapper classification strategy. More...

#include <ClassifierSAMStrategy.h>

Inheritance diagram for te::rp::ClassifierSAMStrategy:

Classes
class	Parameters
	Classifier Parameters. More...

Public Types
typedef std::map< ClassIDT, SamplesT >	ClassesSamplesT
	Classes samples container type definition. More...

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

typedef unsigned int	ClassIDT
	Class ID type definition (zero means invalid ID). More...

typedef std::vector< SampleT >	SamplesT
	Class samples container type definition. More...

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

Public Member Functions
	ClassifierSAMStrategy ()

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...

std::vector< int >	getOutputDataTypes () const
	Returns the output raster pixel data type for each output band. More...

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

	~ClassifierSAMStrategy ()

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

SamplesT	m_classesMeans
	Classes means. More...

ClassifierSAMStrategy::Parameters	m_initParams
	Initialization parameters. More...

bool	m_isInitialized
	Is this instance initialized? More...

Detailed Description

Spectral Angle Mapper classification strategy.

This algorithm maps the spectral similarity of input raster to the given reference spectra wich can be either laboratory of field spectra. This method assumes that the data have been reduced to apparent reflectance with all dark current and path radiance biases removed. Reference: The spectral image processing system (SIPS)- interactive visualization and analysis of imaging spectrometer data. Kruse, F. A.; Lefkoff, A. B.; Boardman, J. W.; Heidebrecht, K. B.; Shapiro, A. T.; Barloon, P. J.; Goetz, A. F. H. The earth and space science information system (ESSIS). AIP Conference Proceedings, Volume 283, pp. 192-201 (1993).

Definition at line 55 of file ClassifierSAMStrategy.h.

Member Typedef Documentation

typedef std::map< ClassIDT, SamplesT > te::rp::ClassifierSAMStrategy::ClassesSamplesT

Classes samples container type definition.

Definition at line 65 of file ClassifierSAMStrategy.h.

typedef boost::shared_ptr<ClassesSamplesT> te::rp::ClassifierSAMStrategy::ClassesSamplesTPtr

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

Definition at line 67 of file ClassifierSAMStrategy.h.

typedef unsigned int te::rp::ClassifierSAMStrategy::ClassIDT

Class ID type definition (zero means invalid ID).

Definition at line 59 of file ClassifierSAMStrategy.h.

typedef std::vector< SampleT > te::rp::ClassifierSAMStrategy::SamplesT

Class samples container type definition.

Definition at line 63 of file ClassifierSAMStrategy.h.

typedef std::vector< double > te::rp::ClassifierSAMStrategy::SampleT

Class sample type definition.

Definition at line 61 of file ClassifierSAMStrategy.h.

Constructor & Destructor Documentation

te::rp::ClassifierSAMStrategy::ClassifierSAMStrategy ( )

te::rp::ClassifierSAMStrategy::~ClassifierSAMStrategy ( )

Member Function Documentation

bool te::rp::ClassifierSAMStrategy::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.

std::vector< int > te::rp::ClassifierSAMStrategy::getOutputDataTypes ( ) const

virtual

Returns the output raster pixel data type for each output band.

Returns: Returns the output raster pixel data type for each output band.

Implements te::rp::ClassifierStrategy.

bool te::rp::ClassifierSAMStrategy::initialize	(	ClassifierStrategyParameters 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.

Member Data Documentation

std::vector< ClassIDT > te::rp::ClassifierSAMStrategy::m_classesIndex2ID

protected

An class index ordered vector of classes IDs;.

Definition at line 119 of file ClassifierSAMStrategy.h.

SamplesT te::rp::ClassifierSAMStrategy::m_classesMeans

protected

Classes means.

Definition at line 117 of file ClassifierSAMStrategy.h.

ClassifierSAMStrategy::Parameters te::rp::ClassifierSAMStrategy::m_initParams

protected

Initialization parameters.

Definition at line 115 of file ClassifierSAMStrategy.h.

bool te::rp::ClassifierSAMStrategy::m_isInitialized

protected

Is this instance initialized?

Definition at line 113 of file ClassifierSAMStrategy.h.

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

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

Classes

Public Types

Public Member Functions

Protected Attributes

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation