Tool Normal Bayes Classification
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 Samples | table, input | TRAIN_SAMPLES | Provide a class identifier in the first field followed by sample data corresponding to the input feature grids. | - |
| Training Areas | shapes, input | TRAIN_AREAS | - | - |
| Output | Classification | grid, output | CLASSES | - | - |
| Probability (*) | grid, output, optional | PROBABILITY | - | - |
| Look-up Table (*) | table, output, optional | CLASSES_LUT | A reference list of the grid values that have been assigned to the training classes. | - |
| Options | Normalize | boolean | NORMALIZE | - | Default: 0 |
| 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 |
| Grid System | grid system | GRID_SYSTEM | - | - |
| Training | choice | MODEL_TRAIN | - | Available Choices:
[0] training areas
[1] training samples
[2] load from file
Default: 0 |
| Class Identifier | table field | TRAIN_CLASS | - | - |
| Buffer Size | floating point number | TRAIN_BUFFER | For non-polygon type training areas, creates a buffer with a diameter of specified size. | Minimum: 0.000000
Default: 1.000000 |
| Load Model | file path | MODEL_LOAD | Use a model previously stored to file. | - |
| 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>] [-CLASSES <str>] [-PROBABILITY <str>] [-CLASSES_LUT <str>] [-MODEL_TRAIN <str>] [-TRAIN_SAMPLES <str>] [-TRAIN_AREAS <str>] [-TRAIN_CLASS <str>] [-TRAIN_BUFFER <double>] [-MODEL_LOAD <str>] [-MODEL_SAVE <str>]
-FEATURES:<str> Features
grid list, input
-NORMALIZE:<str> Normalize
boolean
Default: 0
-CLASSES:<str> Classification
grid, output
-PROBABILITY:<str> Probability
grid, output, optional
-CLASSES_LUT:<str> Look-up Table
table, output, optional
-MODEL_TRAIN:<str> Training
choice
Available Choices:
[0] training areas
[1] training samples
[2] load from file
Default: 0
-TRAIN_SAMPLES:<str> Training Samples
table, input
-TRAIN_AREAS:<str> Training Areas
shapes, input
-TRAIN_CLASS:<str> Class Identifier
table field
-TRAIN_BUFFER:<double> Buffer Size
floating point number
Minimum: 0.000000
Default: 1.000000
-MODEL_LOAD:<str> Load Model
file path
-MODEL_SAVE:<str> Save Model
file path