The spectral signatures of the materials contained in hyperspectral images, also called endmembers (EM), can be significantly affected by variations atmospheric, illumination or environmental conditions typically occurring within an image. Traditional unmixing (SU) algorithms neglect variability endmembers, what propagates significant mismodeling errors throughout whole process and compromises ...