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