Module Supervised Classification for Grids

Supervised Classification

Author: O.Conrad (c) 2005
Specification: grid
Menu: Imagery|Classification

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Features	Grid list (input)	`GRIDS`	-	-
Input	Training Areas (*)	Shapes (optional input)	`TRAINING`	-	-
Output	Classification	Grid (output)	`CLASSES`	-	-
Output	Quality (*)	Grid (optional output)	`QUALITY`	Dependent on chosen method, these are distances or probabilities.	-
Options	Normalise	Boolean	`NORMALISE`	-	Default: 0
	Class Identifier	Table field	`TRAINING_CLASS`	-	-
	Load Statistics from File...	File path	`FILE_LOAD`	-	-
	Save Statistics to File...	File path	`FILE_SAVE`	-	-
	Method	Choice	`METHOD`	-	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 Threshold	Floating point	`THRESHOLD_DIST`	Let pixel stay unclassified, if minimum euclidian or mahalanobis distance is greater than threshold.	Minimum: 0.000000 Default: 0.000000
	Spectral Angle Threshold (Degree)	Floating point	`THRESHOLD_ANGLE`	Let pixel stay unclassified, if spectral angle distance is greater than threshold.	Minimum: 0.000000 Maximum: 90.000000 Default: 0.000000
	Probability Threshold	Floating point	`THRESHOLD_PROB`	Let pixel stay unclassified, if maximum likelihood probability value is less than threshold.	Minimum: 0.000000 Maximum: 100.000000 Default: 0.000000
	Probability Reference	Choice	`RELATIVE_PROB`	-	Available Choices: [0] absolute [1] relative Default: 1
	Binary Encoding	Boolean	`WTA_0`	-	Default: 0
	Parallelepiped	Boolean	`WTA_1`	-	Default: 0
	Minimum Distance	Boolean	`WTA_2`	-	Default: 0
	Mahalanobis Distance	Boolean	`WTA_3`	-	Default: 0
	Maximum Likelihood	Boolean	`WTA_4`	-	Default: 0
	Spectral Angle Mapping	Boolean	`WTA_5`	-	Default: 0
(*) 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 <str>] [-THRESHOLD_ANGLE <str>] [-THRESHOLD_PROB <str>] [-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:<str> 	Distance Threshold
	Floating point
	Minimum: 0.000000
	Default: 0.000000
  -THRESHOLD_ANGLE:<str>	Spectral Angle Threshold (Degree)
	Floating point
	Minimum: 0.000000
	Maximum: 90.000000
	Default: 0.000000
  -THRESHOLD_PROB:<str> 	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