Computes the spectral/spatial dilation of an image by computing the spectral distance of each pixel under a structuring kernel from the centroid of all pixels under the kernel and taking the most distant result. See 'Spatial/spectral endmember extraction by multidimensional morphological operations.' IEEE transactions on geoscience and remote sensing 40.9 (2002): 2025-2041.
| Usage | Returns |
|---|---|
Image.spectralDilation(metric, kernel, useCentroid) | Image |
| Argument | Type | Details |
|---|---|---|
this: image | Image | The input image. |
metric | String, default: "sam" | The spectral distance metric to use. One of 'sam' (spectral angle mapper), 'sid' (spectral information divergence), 'sed' (squared euclidean distance), or 'emd' (earth movers distance). |
kernel | Kernel, default: null | Connectedness kernel. Defaults to a square of radius 1 (8-way connected). |
useCentroid | Boolean, default: false | If true, distances are computed from the mean of all pixels under the kernel instead of the kernel's center pixel. |
Examples
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Python
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