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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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[[["\u003cp\u003eComputes the spectral/spatial erosion of an image based on spectral distance.\u003c/p\u003e\n"],["\u003cp\u003eUtilizes a structuring kernel to determine the spectral relationship between pixels.\u003c/p\u003e\n"],["\u003cp\u003eOffers various spectral distance metrics: SAM, SID, SED, and EMD.\u003c/p\u003e\n"],["\u003cp\u003eAllows for customization of the kernel and distance calculation method.\u003c/p\u003e\n"]]],[],null,["# ee.Image.spectralErosion\n\nComputes 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.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------------------------------------------------|---------|\n| Image.spectralErosion`(`*metric* `, `*kernel* `, `*useCentroid*`)` | Image |\n\n| Argument | Type | Details |\n|---------------|-------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| this: `image` | Image | The input image. |\n| `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). |\n| `kernel` | Kernel, default: null | Connectedness kernel. Defaults to a square of radius 1 (8-way connected). |\n| `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. |"]]
