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This paper presents an exploratory data analysis to evaluate how spatial information can be used to extract homogeneous regions in hyperspectral images. The basic assumption on the linear unmixing model applied to hyperspectral images, is that the pixels are in the convex hull of the cone with the endmembers at its vertices. Several spectral unmixing algorithms look for a single convex region to depict...
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