Tool Normal Bayes Classification (OpenCV)
Integration of the OpenCV Machine Learning library for Normal Bayes classification of gridded features.
References
- Author: O.Conrad (c) 2016
- Menu: Imagery|Classification|Machine Learning
Parameters
| Name | Type | Identifier | Description | Constraints | |
|---|---|---|---|---|---|
| Input | Features | Grid list, input | FEATURES | - | - |
| Training Areas | Shapes, input | TRAIN_AREAS | - | - | |
| Output | Probability (*) | Grid, output, optional | PROBABILITY | - | - |
| Classification | Grid, output | CLASSES | - | - | |
| Look-up Table (*) | Table, output, optional | CLASSES_LUT | A reference list of the grid values that have been assigned to the training classes. | - | |
| Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Normalize | Boolean | NORMALIZE | - | Default: 0 | |
| Update Colors from Features | Boolean, GUI | RGB_COLORS | Use the first three features in list to obtain blue, green, red components for class colour in look-up table. | Default: 0 | |
| Load Model | File path | MODEL_LOAD | Use a model previously stored to file. | - | |
| Class Identifier | Table field | TRAIN_CLASS | - | - | |
| Buffer Size | Floating point | TRAIN_BUFFER | For non-polygon type training areas, creates a buffer with a diameter of specified size. | Minimum: 0.000000 Default: 1.000000 | |
| Save Model | File path | MODEL_SAVE | Stores model to file to be used for subsequent classifications instead of training areas. | - | |
| (*) optional | |||||
Command-line
Usage: saga_cmd imagery_opencv 5 [-FEATURES <str>] [-NORMALIZE <str>] [-PROBABILITY <str>] [-CLASSES <str>] [-CLASSES_LUT <str>] [-MODEL_LOAD <str>] [-TRAIN_AREAS <str>] [-TRAIN_CLASS <str>] [-TRAIN_BUFFER <double>] [-MODEL_SAVE <str>] -FEATURES:<str> Features Grid list, input -NORMALIZE:<str> Normalize Boolean Default: 0 -PROBABILITY:<str> Probability Grid, output, optional -CLASSES:<str> Classification Grid, output -CLASSES_LUT:<str> Look-up Table Table, output, optional -MODEL_LOAD:<str> Load Model File path -TRAIN_AREAS:<str> Training Areas Shapes, input -TRAIN_CLASS:<str> Class Identifier Table field -TRAIN_BUFFER:<double> Buffer Size Floating point Minimum: 0.000000 Default: 1.000000 -MODEL_SAVE:<str> Save Model File path