Normal Bayes Classification
- Author: O.Conrad (c) 2016
- Menu: Imagery | Classification | Machine Learning
Description
Integration of the OpenCV Machine Learning library for Normal Bayes classification of gridded features.
References
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. | - |
Command Line
Usage: saga_cmd imagery_opencv 5 [-FEATURES] [-NORMALIZE ] [-CLASSES ] [-PROBABILITY ] [-CLASSES_LUT ] [-MODEL_TRAIN ] [-TRAIN_SAMPLES ] [-TRAIN_AREAS ] [-TRAIN_CLASS ] [-TRAIN_BUFFER ] [-MODEL_LOAD ] [-MODEL_SAVE ] -FEATURES: Features grid list, input -NORMALIZE: Normalize boolean Default: 0 -CLASSES: Classification grid, output -PROBABILITY: Probability grid, output, optional -CLASSES_LUT: Look-up Table table, output, optional -MODEL_TRAIN: Training choice Available Choices: [0] training areas [1] training samples [2] load from file Default: 0 -TRAIN_SAMPLES: Training Samples table, input -TRAIN_AREAS: Training Areas shapes, input -TRAIN_CLASS: Class Identifier table field -TRAIN_BUFFER: Buffer Size floating point number Minimum: 0.000000 Default: 1.000000 -MODEL_LOAD: Load Model file path -MODEL_SAVE: Save Model file path