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 () throw ( te::rp::Exception )
	Clear all internal allocated resources and reset the parameters instance to its initial state. 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 74 of file ClassifierSAMStrategy.h.

Constructor & Destructor Documentation

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

(

)

Definition at line 42 of file ClassifierSAMStrategy.cpp.

References reset().

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

(

)

Definition at line 47 of file ClassifierSAMStrategy.cpp.

Member Function Documentation

te::common::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.

Definition at line 67 of file ClassifierSAMStrategy.cpp.

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

(

const Parameters &

params

)

Definition at line 51 of file ClassifierSAMStrategy.cpp.

References m_maxAngularDistances, and m_trainSamplesPtr.

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

virtual

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

Implements te::common::AbstractParameters.

Definition at line 61 of file ClassifierSAMStrategy.cpp.

Referenced by te::rp::ClassifierSAMStrategy::initialize(), and Parameters().

Member Data Documentation

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 80 of file ClassifierSAMStrategy.h.

Referenced by te::rp::ClassifierSAMStrategy::execute(), te::qt::widgets::ClassifierWizardPage::getInputParams(), te::rp::ClassifierSAMStrategy::initialize(), and operator=().

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

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

Definition at line 78 of file ClassifierSAMStrategy.h.

Referenced by te::qt::widgets::ClassifierWizardPage::getInputParams(), te::rp::ClassifierSAMStrategy::initialize(), and operator=().

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

• C:/TL5_2015_release/terralib5/src/terralib/rp/ClassifierSAMStrategy.h
• C:/TL5_2015_release/terralib5/src/terralib/rp/ClassifierSAMStrategy.cpp