25 #ifndef __TERRALIB_RP_INTERNAL_POSTCLASSIFICATION_H 26 #define __TERRALIB_RP_INTERNAL_POSTCLASSIFICATION_H 29 #include "../raster/Raster.h" 71 AbstractParameters* clone() const;
84 std::map< std::string, std::string >
m_rInfo;
101 AbstractParameters* clone() const;
109 bool execute(AlgorithmOutputParameters& outputParams)
_NOEXCEPT_OP(false);
118 bool isInitialized() const;
122 bool m_isInitialized;
136 bool runPostClassification(const
te::
rst::Raster& srcRaster,
te::
rst::Raster& dstRaster,
137 unsigned int weight,
unsigned int threshold);
PostClassification output parameters.
std::string m_rType
Output raster data source type (as described in te::raster::RasterFactory ).
Raster post classification.
Raster Processing algorithm output parameters base interface.
#define TERPEXPORT
You can use this macro in order to export/import classes and functions from this module.
Raster Processing algorithm base interface class.
unsigned int m_weight
The weight value defines the number of times the frequency of the central point has to be considered...
Raster Processing algorithm base interface.
unsigned int m_threshold
The threshold value is the frequency value above which the central point is modified.
An abstract class for raster data strucutures.
std::unique_ptr< te::rst::Raster > m_outputRasterPtr
A pointer the ge generated output raster (label image).
rasterPointer reset(te::rst::RasterFactory::make("MEM", new te::rst::Grid(nCols, nLines), bandsProps, std::map< std::string, std::string >(), 0, 0))
std::map< std::string, std::string > m_rInfo
The necessary information to create the raster (as described in te::raster::RasterFactory).
te::rst::Raster const * m_inRasterPtr
Input raster.