Constrained reflect-then-combine methods for unmixing hyperspectral data

This paper deals with the linear unmixing problem in hyperspectral data processing, and in particular the estimation of the fractional abundances under sum-to-one and non-negativity constraints. For this purpose, we propose to adapt the reflect-then-combine iterative technique, initially derived by Cimmino. Several strategies are studied in order to handle the constraints, and experimental results are analyzed.