Integration of the OpenCV Machine Learning library for Support Vector Machine classification of gridded features.
| 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 | - | - |
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 |
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 |
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 | 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. | - |
SVM Type | Choice | SVM_TYPE | - | Available Choices: [0] c-support vector classification [1] nu support vector classification [2] distribution estimation (one class) [3] epsilon support vector regression [4] nu support vector regression Default: 0 |
C | Floating point | C | - | Minimum: 0.000000 Default: 5.000000 |
Nu | Floating point | NU | - | Minimum: 0.000000 Default: 0.500000 |
P | Floating point | P | - | Minimum: 0.000000 Default: 0.500000 |
Kernel Type | Choice | KERNEL | - | Available Choices: [0] linear [1] polynomial [2] radial basis function [3] sigmoid [4] exponential chi2 [5] histogram intersection Default: 2 |
Coefficient 0 | Floating point | COEF0 | - | Minimum: 0.000000 Default: 1.000000 |
Degree | Floating point | DEGREE | - | Minimum: 0.000000 Default: 0.500000 |
Gamma | Floating point | GAMMA | - | Minimum: 0.000000 Default: 5.000000 |
(*) optional |