SAGA-GIS Tool Library Documentation (v6.1.0)

Tool Supervised Classification for Grids

Supervised Classification

Parameters

 NameTypeIdentifierDescriptionConstraints
InputFeaturesGrid list (input)GRIDS--
Training Areas (*)Shapes (optional input)TRAINING--
OutputClassificationGrid (output)CLASSES--
Quality (*)Grid (optional output)QUALITYDependent on chosen method, these are distances or probabilities.-
OptionsGrid systemGrid systemPARAMETERS_GRID_SYSTEM--
NormaliseBooleanNORMALISE-Default: 0
Class IdentifierTable fieldTRAINING_CLASS--
Load Statistics from File...File pathFILE_LOAD--
Save Statistics to File...File pathFILE_SAVE--
MethodChoiceMETHOD-Available Choices:
[0] Binary Encoding
[1] Parallelepiped
[2] Minimum Distance
[3] Mahalanobis Distance
[4] Maximum Likelihood
[5] Spectral Angle Mapping
[6] Winner Takes All
Default: 2
Distance ThresholdFloating pointTHRESHOLD_DISTLet pixel stay unclassified, if minimum euclidian or mahalanobis distance is greater than threshold.Minimum: 0.000000
Default: 0.000000
Spectral Angle Threshold (Degree)Floating pointTHRESHOLD_ANGLELet pixel stay unclassified, if spectral angle distance is greater than threshold.Minimum: 0.000000
Maximum: 90.000000
Default: 0.000000
Probability ThresholdFloating pointTHRESHOLD_PROBLet pixel stay unclassified, if maximum likelihood probability value is less than threshold.Minimum: 0.000000
Maximum: 100.000000
Default: 0.000000
Probability ReferenceChoiceRELATIVE_PROB-Available Choices:
[0] absolute
[1] relative
Default: 1
Binary EncodingBooleanWTA_0-Default: 0
ParallelepipedBooleanWTA_1-Default: 0
Minimum DistanceBooleanWTA_2-Default: 0
Mahalanobis DistanceBooleanWTA_3-Default: 0
Maximum LikelihoodBooleanWTA_4-Default: 0
Spectral Angle MappingBooleanWTA_5-Default: 0
Update Colors from FeaturesBooleanRGB_COLORSUse the first three features in list to obtain blue, green, red components for class colour in look-up table.Default: 1
(*) optional

Command-line

Usage: saga_cmd imagery_classification 0 [-GRIDS <str>] [-NORMALISE <str>] [-CLASSES <str>] [-QUALITY <str>] [-TRAINING <str>] [-TRAINING_CLASS <str>] [-FILE_LOAD <str>] [-FILE_SAVE <str>] [-METHOD <str>] [-THRESHOLD_DIST <double>] [-THRESHOLD_ANGLE <double>] [-THRESHOLD_PROB <double>] [-RELATIVE_PROB <str>] [-WTA_0 <str>] [-WTA_1 <str>] [-WTA_2 <str>] [-WTA_3 <str>] [-WTA_4 <str>] [-WTA_5 <str>]
  -GRIDS:<str>             	Features
	Grid list (input)
  -NORMALISE:<str>         	Normalise
	Boolean
	Default: 0
  -CLASSES:<str>           	Classification
	Grid (output)
  -QUALITY:<str>           	Quality
	Grid (optional output)
  -TRAINING:<str>          	Training Areas
	Shapes (optional input)
  -TRAINING_CLASS:<str>    	Class Identifier
	Table field
  -FILE_LOAD:<str>         	Load Statistics from File...
	File path
  -FILE_SAVE:<str>         	Save Statistics to File...
	File path
  -METHOD:<str>            	Method
	Choice
	Available Choices:
	[0] Binary Encoding
	[1] Parallelepiped
	[2] Minimum Distance
	[3] Mahalanobis Distance
	[4] Maximum Likelihood
	[5] Spectral Angle Mapping
	[6] Winner Takes All
	Default: 2
  -THRESHOLD_DIST:<double> 	Distance Threshold
	Floating point
	Minimum: 0.000000
	Default: 0.000000
  -THRESHOLD_ANGLE:<double>	Spectral Angle Threshold (Degree)
	Floating point
	Minimum: 0.000000
	Maximum: 90.000000
	Default: 0.000000
  -THRESHOLD_PROB:<double> 	Probability Threshold
	Floating point
	Minimum: 0.000000
	Maximum: 100.000000
	Default: 0.000000
  -RELATIVE_PROB:<str>     	Probability Reference
	Choice
	Available Choices:
	[0] absolute
	[1] relative
	Default: 1
  -WTA_0:<str>             	Binary Encoding
	Boolean
	Default: 0
  -WTA_1:<str>             	Parallelepiped
	Boolean
	Default: 0
  -WTA_2:<str>             	Minimum Distance
	Boolean
	Default: 0
  -WTA_3:<str>             	Mahalanobis Distance
	Boolean
	Default: 0
  -WTA_4:<str>             	Maximum Likelihood
	Boolean
	Default: 0
  -WTA_5:<str>             	Spectral Angle Mapping
	Boolean
	Default: 0