Supervised Classification for Grids
imagery_classification
ParameterMultipleInput|GRIDS|Features|3|False
ParameterBoolean|NORMALISE|Normalise|False
OutputRaster|CLASSES|Classification
OutputRaster|QUALITY|Quality
ParameterVector|TRAINING|Training Areas|-1|True
ParameterTable|TRAINING_CLASS|Class Identifier|False
ParameterFile|FILE_LOAD|Load Statistics from File...|False|False
ParameterFile|FILE_SAVE|Save Statistics to File...|False|False
ParameterSelection|METHOD|Method|[0] Binary Encoding;[1] Parallelepiped;[2] Minimum Distance;[3] Mahalanobis Distance;[4] Maximum Likelihood;[5] Spectral Angle Mapping;[6] Winner Takes All| 2
ParameterNumber|THRESHOLD_DIST|Distance Threshold| 0.000000|None| 0.000000
ParameterNumber|THRESHOLD_ANGLE|Spectral Angle Threshold (Degree)| 0.000000| 90.000000| 0.000000
ParameterNumber|THRESHOLD_PROB|Probability Threshold| 0.000000| 100.000000| 0.000000
ParameterSelection|RELATIVE_PROB|Probability Reference|[0] absolute;[1] relative| 1
ParameterBoolean|WTA_0|Binary Encoding|False
ParameterBoolean|WTA_1|Parallelepiped|False
ParameterBoolean|WTA_2|Minimum Distance|False
ParameterBoolean|WTA_3|Mahalanobis Distance|False
ParameterBoolean|WTA_4|Maximum Likelihood|False
ParameterBoolean|WTA_5|Spectral Angle Mapping|False