An hyperspectral image is a multidimensional image with more than 200 spectral bands i.e. an image for which each pixel is a vector of dimension 200 (most often it is a sampled spectral curve that is encoutered in satellite imagery or medical imagery).
What are the implemented package (I am especially interested in R packages but if other free algorithms exist, I will try them) for frontier detection and (unsupervised) segmentation of this type of images?