| Tool Name | Seed Generation |
| Tool ID | 2 |
| Library ID | imagery_segmentation |
| Version | 1.0 |
| Author(s) | O.Conrad (c) 2010 |
| Name | Type | Identifier | Description | Constraints |
|---|---|---|---|---|
| Input | ||||
| Features | grid list, input | FEATURES | ||
| Output | ||||
| Variance | grid, output | VARIANCE | ||
| Seeds Grid | grid, output, optional | SEED_GRID | ||
| Seed Points | shapes, output, optional | SEED_POINTS | ||
| Options | ||||
| Seed Type | choice | SEED_TYPE | Available Choices: [0] minima of variance [1] maxima of variance Default: 0 | |
| Method | choice | METHOD | Available Choices: [0] band width smoothing [1] band width search Default: 0 | |
| Bandwidth (Cells) | floating point number | BAND_WIDTH | Minimum: 1.000000 Default: 10.000000 | |
| Normalize Features | boolean | NORMALIZE | Standardize the input features, i.e. rescale the input data (features) such that the mean equals 0 and the standard deviation equals 1. This is helpful when the input features have different scales, units or outliers. | Default: 0 |
| Weighting Function | choice | DW_WEIGHTING | Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian Default: 3 | |
| Power | floating point number | DW_IDW_POWER | Minimum: 0.000000 Default: 2.000000 | |
| Bandwidth | floating point number | DW_BANDWIDTH | Bandwidth for exponential and Gaussian weighting | Minimum: 0.000000 Default: 5.000000 |