Hyperspectral unmixing aims at identifying a set of elementary spectra a...
Supervised classification and representation learning are two widely use...
Spectral variability is one of the major issue when conducting hyperspec...
Within a supervised classification framework, labeled data are used to l...
A fast forward feature selection algorithm is presented in this paper. I...