Abstract
Contrary to image classification, spectralunmixing techniques allow to derive abundance/fractional cover estimates for selected endmembers within the volume of a pixel. Mathematically the solution to the mixing problem is resolving a set oflinear equations using least squares approaches. Practically this is done using singular value deconvolution of the endmember matrix
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