ee.Image.spectralErosion
Computes the spectral/spatial erosion 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 closest 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.spectralErosion(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. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-07-13 UTC.
[null,null,["Last updated 2024-07-13 UTC."],[[["Computes the spectral/spatial erosion of an image based on spectral distance."],["Utilizes a structuring kernel to determine the spectral relationship between pixels."],["Offers various spectral distance metrics: SAM, SID, SED, and EMD."],["Allows for customization of the kernel and distance calculation method."]]],[]]