| Tool Name | Supervised Majority Choice Image Classification |
| Tool ID | classify_majority |
| Library ID | imagery_classification |
| Version | 1.0 |
| Author(s) | O. Conrad (c) 2023 |
| Name | Type | Identifier | Description | Constraints |
|---|---|---|---|---|
| Input | ||||
| Features | grid list, input | FEATURES | ||
| Training Areas | shapes, input | TRAIN_AREAS | ||
| Training Samples | table, input | TRAIN_SAMPLES | ||
| Output | ||||
| Majority Choice | grid, output | CLASSES | ||
| Majority Count | grid, output, optional | MAJORITY_COUNT | ||
| Classes Count | grid, output, optional | NUNIQUES | ||
| Options | ||||
| Normalize | boolean | NORMALIZE | Default: 0 | |
| Training | choice | MODEL_TRAIN | Available Choices: [0] training areas [1] training samples 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: 30.000000 |
| Unambiguous | boolean | UNAMBIGUOUS | Do not classify a pixel if more than one class reaches the same majority count for it. | Default: 0 |
| Parallel Epiped | boolean | CLASSIFY_BOX | Default: 1 | |
| Minimum Distance | boolean | CLASSIFY_MINDIST | Default: 1 | |
| Mahalonobis Distance | boolean | CLASSIFY_MAHALONOBIS | Default: 1 | |
| Maximum Likelihood | boolean | CLASSIFY_MAXLIKE | Default: 1 | |
| Spectral Angle Mapping | boolean | CLASSIFY_SAM | Default: 1 | |
| Normal Bayes | boolean | CLASSIFY_BAYES | Default: 1 | |
| Decision Tree | boolean | CLASSIFY_DT | Default: 1 | |
| Random Forest | boolean | CLASSIFY_RF | Default: 0 | |
| Support Vector Machine | boolean | CLASSIFY_SVM | Default: 1 | |
| K-Nearest Neighbours | boolean | CLASSIFY_KNN | Default: 0 | |
| Artificial Neural Network | boolean | CLASSIFY_ANN | Default: 0 | |