Module Supervised Classification

Supervised Classification

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

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Grids	Grid list (input)	`GRIDS`	-	-
	Training Areas	Shapes (input)	`ROI`	-	-
	Class Statistics	Table (input)	`STATS`	-	-
Output	Summary	Table (output)	`CLASS_INFO`	-	-
	Classification	Grid (output)	`CLASSES`	-	-
	Quality (*)	Grid (optional output)	`QUALITY`	Dependent on chosen method, these are distances or probabilities.	-
Options	Class Identifier	Table field	`ROI_ID`	-	-
	Get Class Statistics from...	Choice	`STATS_SRC`	-	Available Choices: [0] training areas [1] table Default: 0
	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
	Normalise	Boolean	`NORMALISE`	-	Default: 0
	Distance Threshold	Floating point	`THRESHOLD_DIST`	Let pixel stay unclassified, if minimum or mahalanobis distance is greater than threshold.	Minimum: 0.000000 Default: 0.000000
	Probability Threshold (Percent)	Floating point	`THRESHOLD_PROB`	Let pixel stay unclassified, if maximum likelihood probability 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
	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
	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> -ROI <str> [-ROI_ID <str>] -STATS <str> [-CLASS_INFO <str>] [-CLASSES <str>] [-QUALITY <str>] [-STATS_SRC <str>] [-METHOD <str>] [-NORMALISE <str>] [-THRESHOLD_DIST <str>] [-THRESHOLD_PROB <str>] [-RELATIVE_PROB <str>] [-THRESHOLD_ANGLE <str>] [-WTA_0 <str>] [-WTA_1 <str>] [-WTA_2 <str>] [-WTA_3 <str>] [-WTA_4 <str>] [-WTA_5 <str>]
  -GRIDS:<str>          	Grids
	Grid list (input)
  -ROI:<str>            	Training Areas
	Shapes (input)
  -ROI_ID:<str>         	Class Identifier
	Table field
  -STATS:<str>          	Class Statistics
	Table (input)
  -CLASS_INFO:<str>     	Summary
	Table (output)
  -CLASSES:<str>        	Classification
	Grid (output)
  -QUALITY:<str>        	Quality
	Grid (optional output)
  -STATS_SRC:<str>      	Get Class Statistics from...
	Choice
	Available Choices:
	[0] training areas
	[1] table
	Default: 0
  -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
  -NORMALISE:<str>      	Normalise
	Boolean
	Default: 0
  -THRESHOLD_DIST:<str> 	Distance Threshold
	Floating point
	Minimum: 0.000000
	Default: 0.000000
  -THRESHOLD_PROB:<str> 	Probability Threshold (Percent)
	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
  -THRESHOLD_ANGLE:<str>	Spectral Angle Threshold (Degree)
	Floating point
	Minimum: 0.000000
	Maximum: 90.000000
	Default: 0.000000
  -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