Tool Supervised Classification for Tables

Supervised classification for attribute data. To train the classifier choose an attribute that provides class identifiers for those records, for which the target class is known, and no data for all other records.

Author: O.Conrad (c) 2012
Menu: Table|Tools

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Table	Table, input	`TABLE`	-	-
Output	Classification	Table, output	`CLASSES`	-	-
Options	Features	Table fields	`FEATURES`	-	-
	Normalise	Boolean	`NORMALISE`	-	Default: 0
	Training Classes (*)	Table field	`TRAINING`	-	-
	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 5 [-TABLE <str>] [-CLASSES <str>] [-FEATURES <str>] [-NORMALISE <str>] [-TRAINING <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>]
  -TABLE:<str>             	Table
	Table, input
  -CLASSES:<str>           	Classification
	Table, output
  -FEATURES:<str>          	Features
	Table fields
  -NORMALISE:<str>         	Normalise
	Boolean
	Default: 0
  -TRAINING:<str>          	Training Classes
	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