Tool Supervised Classification (Table)

Standard classifiers for supervised classification based on attributes.

Classifiers can be trained in three different ways:

Known classes field: choose an attribute field that provides class identifiers for those records, for which the target class is known, and no-data (or empty string) for all other records.
Training samples: a table with sample records providing the class identifier in the first field followed by sample data corresponding to the selected feature attributes.
Load statistics from file: loads feature statistics from a file that has been previously stored after training with one of the other two options.

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

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Table	Table, input	`TABLE`	-	-
Input	Training Samples	Table, input	`TRAIN_SAMPLES`	Provide a class identifier in the first field followed by sample data corresponding to the selected feature attributes.	-
Output	Classification (*)	Table, output, optional	`CLASSES`	-	-
Options	Features	Table fields	`FEATURES`	-	-
	Normalise	Boolean	`NORMALISE`	-	Default: 0
	Training	Choice	`TRAIN_WITH`	-	Available Choices: [0] known classes field [1] training samples [2] load statistics from file Default: 0
	Known Classes Field	Table field	`TRAIN_FIELD`	-	-
	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 table_tools 26 [-TABLE <str>] [-CLASSES <str>] [-FEATURES <str>] [-NORMALISE <str>] [-TRAIN_WITH <str>] [-TRAIN_FIELD <str>] [-TRAIN_SAMPLES <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, optional
  -FEATURES:<str>          	Features
	Table fields
  -NORMALISE:<str>         	Normalise
	Boolean
	Default: 0
  -TRAIN_WITH:<str>        	Training
	Choice
	Available Choices:
	[0] known classes field
	[1] training samples
	[2] load statistics from file
	Default: 0
  -TRAIN_FIELD:<str>       	Known Classes Field
	Table field
  -TRAIN_SAMPLES:<str>     	Training Samples
	Table, input
  -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