te::rp::Restoration Class Reference

This class implements the combining interpolation and restoration operation. More...

#include <Restoration.h>

Inheritance diagram for te::rp::Restoration:

Classes
class	InputParameters
	Restoration input parameters. More...
class	OutputParameters
	Restoration output parameters. More...

Public Member Functions
bool	execute (AlgorithmOutputParameters &outputParams) _NOEXCEPT_OP(false)
	Executes the algorithm using the supplied parameters. More...
const std::string &	getErrorMessage () const
	Return the current error message if there is any. More...
bool	initialize (const AlgorithmInputParameters &inputParams) _NOEXCEPT_OP(false)
	Initialize the algorithm instance making it ready for execution. More...
bool	isInitialized () const
	Returns true if the algorithm instance is initialized and ready for execution. More...
void	reset () _NOEXCEPT_OP(false)
	Clear all internal allocated objects and reset the algorithm to its initial state. More...
	Restoration ()
	~Restoration ()

Protected Member Functions
bool	applyFilterCoefs (const std::vector< std::vector< double > > &bandsXCoefs, const std::vector< std::vector< double > > &bandsYCoefs, const te::rst::Raster &inputRaster, te::rst::Raster &outputRaster)
	Apply the restorafion filter on the input rasters. More...
bool	getFilterCoefs (const unsigned int bandDesignation, std::vector< double > &XCoefs, std::vector< double > &YCoefs) const
	Calculate the weights of the restoration filter in the vertical and horizontal directions. More...
unsigned int	getFilterSize () const
	Return the target filter size following the current sensor. More...
void	setErrorMessage (const std::string &newErrorMessage)
	Set the current error message. More...

Static Protected Member Functions
static void	getDecomposedSamplingFactor (const InputParameters::SamplingFactorType &sFactortype, unsigned int &upperValue, unsigned int &lowerValue)
	Decompose sampling factor. More...

Protected Attributes
Restoration::InputParameters	m_inputParameters
	Input parameters. More...
bool	m_isInitialized
	Is this instance already initialized? More...

Private Attributes
std::string	m_errorMessage
	Current error message. More...

Detailed Description

This class implements the combining interpolation and restoration operation.

Note

The restoration operation compensates the degradation due the optics, detector and electronic filtering in the interpolation process. The image to be processed must be in the original resolution. For example Spot-X ( 20 m ), Spot-Pan ( 10 m ) and TM ( 30 m ). Filters and Resamples the input image in disk using a filter in the vertical and horizontal directions.

Definition at line 47 of file Restoration.h.

Constructor & Destructor Documentation

Restoration()

te::rp::Restoration::Restoration

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~Restoration()

te::rp::Restoration::~Restoration

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Member Function Documentation

applyFilterCoefs()

bool te::rp::Restoration::applyFilterCoefs ( const std::vector< std::vector< double > > &  bandsXCoefs, const std::vector< std::vector< double > > &  bandsYCoefs, const te::rst::Raster &  inputRaster, te::rst::Raster &  outputRaster  )

protected

Apply the restorafion filter on the input rasters.

Parameters

bandsXCoefs	X coeficients.
bandsYCoefs	Y coeficients.
inputRaster	Input raster.
outputRaster	Pré-initialized Output raster.

Returns

true if OK, false on erros.

execute()

bool te::rp::Restoration::execute ( AlgorithmOutputParameters &  outputParams )

virtual

Executes the algorithm using the supplied parameters.

Parameters

outputParams

Output parameters.

Returns

true if OK, false on errors.

Note

A return error string can be obtained via Algorithm::getErrorMessage()

Implements te::rp::Algorithm.

getDecomposedSamplingFactor()

static void te::rp::Restoration::getDecomposedSamplingFactor ( const InputParameters::SamplingFactorType &  sFactortype, unsigned int &  upperValue, unsigned int &  lowerValue  )

staticprotected

Decompose sampling factor.

Parameters

sFactortype	Sampling factor type.
upperValue	Upper value.
lowerValue	Lower value.

Note

SamplingFactor = ( upperValue / lowerValue ).

getErrorMessage()

const std::string & te::rp::Algorithm::getErrorMessage ( ) const

inherited

Return the current error message if there is any.

Returns

Return the current error message if there is any.

getFilterCoefs()

bool te::rp::Restoration::getFilterCoefs ( const unsigned int  bandDesignation, std::vector< double > &  XCoefs, std::vector< double > &  YCoefs  ) const

protected

Calculate the weights of the restoration filter in the vertical and horizontal directions.

Parameters

bandDesignation	Sensor band designation (starting from 1).
XCoefs	X coeficients.
YCoefs	Y coeficients.

Returns

true if OK, false on erros.

getFilterSize()

unsigned int te::rp::Restoration::getFilterSize ( ) const

protected

Return the target filter size following the current sensor.

Returns

Return the target filter size following the current sensor.

initialize()

bool te::rp::Restoration::initialize ( const AlgorithmInputParameters &  inputParams )

virtual

Initialize the algorithm instance making it ready for execution.

Parameters

inputParams

Input parameters.

Returns

true if OK, false on errors.

Note

A return error string can be obtained via Algorithm::getErrorMessage()

Implements te::rp::Algorithm.

isInitialized()

bool te::rp::Restoration::isInitialized ( ) const

virtual

Returns true if the algorithm instance is initialized and ready for execution.

Returns

true if the algorithm instance is initialized and ready for execution.

Implements te::rp::Algorithm.

reset()

void te::rp::Restoration::reset ( )

virtual

Clear all internal allocated objects and reset the algorithm to its initial state.

Reimplemented from te::rp::Algorithm.

setErrorMessage()

void te::rp::Algorithm::setErrorMessage ( const std::string &  newErrorMessage )

protectedinherited

Set the current error message.

Parameters

newErrorMessage

New error message;

Member Data Documentation

m_errorMessage

std::string te::rp::Algorithm::m_errorMessage

privateinherited

Current error message.

Definition at line 104 of file Algorithm.h.

m_inputParameters

Restoration::InputParameters te::rp::Restoration::m_inputParameters

protected

Input parameters.

Definition at line 206 of file Restoration.h.

m_isInitialized

bool te::rp::Restoration::m_isInitialized

protected

Is this instance already initialized?

Definition at line 204 of file Restoration.h.

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

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