This letter proposes a fast yet efficient method to solve the hyperspectral unmixing problem in challenging unsupervised context, i.e., when endmember spectral signatures are unknown. First, coarse approximation of image is computed by spatially averaging neighboring pixels, which significantly reduces amount pixels be handled. reduced set unmixed derive solutions problem, estimates and corresp...