TePDISAMClassifier Class Reference

Spectral Angle Mapper classification algorithm. More...

#include <TePDISAMClassifier.hpp>

Inheritance diagram for TePDISAMClassifier:

List of all members.

Classes
class	ClassReferenceData
	Class classification reference data. More...
class	ClassSpectralSamples
	Class spectral samples. More...
class	SegThread
	Segmentation thread class. More...
Public Types
typedef std::vector < ClassSpectralSamples >	SpectralSamplesVectorT
	Samples vector.
typedef TeSharedPtr < SpectralSamplesVectorT >	SpectralSamplesVecPtrT
	Samples vector pointer.
Public Member Functions
	TePDISAMClassifier ()
	~TePDISAMClassifier ()
bool	CheckParameters (const TePDIParameters &parameters) const
	Checks if the supplied parameters fits the requirements of each PDI algorithm implementation.
Protected Member Functions
void	ResetState (const TePDIParameters &)
	Reset the internal state to the initial state.
bool	RunImplementation ()
	Runs the current algorithm implementation.
bool	calcClassRefData (const SpectralSamplesVectorT &spectralSamples, std::vector< ClassReferenceData > &refDataVector) const
	Calc the classes reference data required by the classification process.

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Detailed Description

Spectral Angle Mapper classification algorithm.

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).

Author:

Emiliano F. Castejon <castejon@dpi.inpe.br>

Note:

The required parameters are:

Parameters:

input_raster	(TePDITypes::TePDIRasterPtrType) - Input raster.
bands	( std::vector< unsigned int > ) - Bands to process from the input raster.
spectral_samples	( TePDISAMClassifier::SpectralSamplesVecPtrT ) - Reference spectral samples of all required classes.
output_raster	(TePDITypes::TePDIRasterPtrType) - Output raster.

Note:

The optional parameters are:

Parameters:

enable_multi_thread

(int) - If present (any value) multi-threaded processing will be used (default:multi-threaded processing disabled).

Examples:

TePDIClassification_test.cpp.

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Member Typedef Documentation

typedef TeSharedPtr< SpectralSamplesVectorT > TePDISAMClassifier::SpectralSamplesVecPtrT

Samples vector pointer.

typedef std::vector< ClassSpectralSamples > TePDISAMClassifier::SpectralSamplesVectorT

Samples vector.

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Constructor & Destructor Documentation

TePDISAMClassifier::TePDISAMClassifier

(

)

TePDISAMClassifier::~TePDISAMClassifier

(

)

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Member Function Documentation

bool TePDISAMClassifier::calcClassRefData	(	const SpectralSamplesVectorT &	spectralSamples,
		std::vector< ClassReferenceData > &	refDataVector
	)		const [protected]

Calc the classes reference data required by the classification process.

Parameters:

spectralSamples	- Input spectral samples.
refDataVector	- The generated output reference data vector.

bool TePDISAMClassifier::CheckParameters

(

const TePDIParameters &

parameters

)

const [virtual]

Checks if the supplied parameters fits the requirements of each PDI algorithm implementation.

Note:

Error log messages must be generated. No exceptions generated.

Parameters:

parameters

The parameters to be checked.

Returns:

true if the parameters are OK. false if not.

Implements TePDIAlgorithm.

void TePDISAMClassifier::ResetState

(

const TePDIParameters &

params

)

[protected, virtual]

Reset the internal state to the initial state.

Parameters:

params

The new parameters referente at initial state.

Implements TePDIAlgorithm.

bool TePDISAMClassifier::RunImplementation

(

)

[protected, virtual]

Runs the current algorithm implementation.

Returns:

true if OK. false on error.

Implements TePDIAlgorithm.

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

• E:/Projetos_Primeiro_Semestre_2012/TerraView/terralib/src/terralib/image_processing/TePDISAMClassifier.hpp
• E:/Projetos_Primeiro_Semestre_2012/TerraView/terralib/src/terralib/image_processing/TePDISAMClassifier.cpp