te::rp::ClassifierSAMStrategy::Parameters Class Reference

Classifier Parameters. More...

#include <ClassifierSAMStrategy.h>

Inheritance diagram for te::rp::ClassifierSAMStrategy::Parameters:

Public Member Functions
AbstractParameters *	clone () const
	Create a clone copy of this instance. More...
const Parameters &	operator= (const Parameters &params)
	Parameters ()
void	reset ()
	Clear all internal allocated resources and reset the parameters instance to its initial state. More...
bool	serialize (AlgorithmParametersSerializer &serializer) const
	Returns a parameter serialization object. More...
	~Parameters ()

Public Attributes
std::vector< double >	m_maxAngularDistances
	This is a vector of maximum acceptable angles (radians) between one pixel spectra and the reference spectra for each class (pixels with angular distance higher than this value will not be classifyed as belonging to each class (common used default:0.1 radians). More...
ClassesSamplesTPtr	m_trainSamplesPtr
	A shared pointer to a always-valid structure where trainning samples are stored. More...

Detailed Description

Classifier Parameters.

Definition at line 76 of file ClassifierSAMStrategy.h.

Constructor & Destructor Documentation

Parameters()

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

(

)

~Parameters()

te::rp::ClassifierSAMStrategy::Parameters::~Parameters

(

)

Member Function Documentation

clone()

AbstractParameters * te::rp::ClassifierSAMStrategy::Parameters::clone ( ) const

virtual

Create a clone copy of this instance.

Returns

A clone copy of this instance.

Note

The caller will take the ownership of the returned pointer.

Implements te::common::AbstractParameters.

operator=()

const Parameters & te::rp::ClassifierSAMStrategy::Parameters::operator=

(

const Parameters &

params

)

reset()

void te::rp::ClassifierSAMStrategy::Parameters::reset ( )

virtual

Clear all internal allocated resources and reset the parameters instance to its initial state.

Implements te::common::AbstractParameters.

serialize()

bool te::rp::ClassifierSAMStrategy::Parameters::serialize ( AlgorithmParametersSerializer &  serializer ) const

virtual

Returns a parameter serialization object.

Parameters

serializer

The output serialization object.

Returns

Returns true if ok, false on erros.

Reimplemented from te::rp::ClassifierStrategyParameters.

Member Data Documentation

m_maxAngularDistances

std::vector< double > te::rp::ClassifierSAMStrategy::Parameters::m_maxAngularDistances

This is a vector of maximum acceptable angles (radians) between one pixel spectra and the reference spectra for each class (pixels with angular distance higher than this value will not be classifyed as belonging to each class (common used default:0.1 radians).

Definition at line 82 of file ClassifierSAMStrategy.h.

m_trainSamplesPtr

ClassesSamplesTPtr te::rp::ClassifierSAMStrategy::Parameters::m_trainSamplesPtr

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

Definition at line 80 of file ClassifierSAMStrategy.h.

---

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

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