The tool allows one to create seed points from a stack of input features. Such seed points can be used, for example, as input in the 'Seeded Region Growing' tool.
|  | Name | Type | Identifier | Description | Constraints | 
|---|
| Input | Features | Grid list (input) | FEATURES | - | - | 
| Output | Variance | Grid (output) | VARIANCE | - | - | 
 | Seeds Grid (*) | Grid (optional output) | SEED_GRID | - | - | 
 | Seed Points (*) | Shapes (optional output) | SEED_POINTS | - | - | 
| Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - | 
 | 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 | 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: 0
 | 
 | Power | Floating point | DW_IDW_POWER | - | Minimum: 0.000000 Default: 2.000000
 | 
 | Bandwidth | Floating point | DW_BANDWIDTH | Bandwidth for exponential and Gaussian weighting | Minimum: 0.000000 Default: 1.000000
 | 
| (*) optional |