2018
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing
ICASSP 2018accepted
Hyperspectral image unmixing is a source separation problem aiming at recovering the spectra of the pure materials of the observed scene (called endmembers), as well as their relative proportions in each pixel of the image (called abundances). The variability of the materials has recently received a…