Unmixing hyperspectral intimate mixtures

This paper addresses the unmixing of hyperspectral images, when intimate mixtures are present. In these scenarios the light suffers multiple interactions among distinct endmembers, which is not accounted for by the linear mixing model. A two-step method to unmix hyperspectral intimate mixtures is proposed: first, based on the Hapke intimate mixture model, the reflectance is converted into single scattering albedo average. Second, the mass fractions of the endmembers are estimated by a recently proposed method termed simplex identification via split augmented Lagrangian (SISAL). The proposed method is evaluated on a well known intimate mixture data set.