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.

Image.spectralErosion(metric, kernel, useCentroid)Image
this: imageImage

The input image.

metricString, 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).

kernelKernel, default: null

Connectedness kernel. Defaults to a square of radius 1 (8-way connected).

useCentroidBoolean, default: false

If true, distances are computed from the mean of all pixels under the kernel instead of the kernel's center pixel.