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Supervised Classification
imagery_classification
ParameterMultipleInput|GRIDS|Grids|3.0|False
ParameterVector|ROI|Training Areas|2|False
ParameterTableField|ROI_ID|Class Identifier|ROI|-1|False
ParameterTable|STATS|Class Statistics|False
ParameterSelection|STATS_SRC|Get Class Statistics from...|[0] training areas;[1] table
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
ParameterBoolean|NORMALISE|Normalise|False
ParameterNumber|THRESHOLD_DIST|Distance Threshold|0.0|None|0.0
ParameterNumber|THRESHOLD_PROB|Probability Threshold (Percent)|0.0|100.0|0.0
ParameterSelection|RELATIVE_PROB|Probability Reference|[0] absolute;[1] relative
ParameterNumber|THRESHOLD_ANGLE|Spectral Angle Threshold (Degree)|0.0|90.0|0.0
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
OutputTable|CLASS_INFO|Class Information
OutputRaster|CLASSES|Classification
OutputRaster|QUALITY|Quality
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