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

Classifier Parameters. More...

#include <ClassifierSAMStrategy.h>

Inheritance diagram for te::rp::ClassifierSAMStrategy::Parameters:
te::rp::ClassifierStrategyParameters te::common::AbstractParameters

Public Member Functions

AbstractParametersclone () const
 Create a clone copy of this instance. More...
 
const Parametersoperator= (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 ( )
te::rp::ClassifierSAMStrategy::Parameters::~Parameters ( )

Member Function Documentation

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.

const Parameters& te::rp::ClassifierSAMStrategy::Parameters::operator= ( const Parameters params)
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.

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.

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.


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