The recently developed theory of compressive sensing (CS) exhibits enormous potentials in
signal recovery. In this paper, we investigate its application on spectral unmixing, which …

The aim of spectral unmixing of hyperspectral images is to determine the component
materials and their associated abundances from mixed pixels. In this paper, we present …

MCMC (Monte Carlo Markov Chain) µέθοδος προσοµοίωσης δειγµάτων της απó κοινού εκ
των υστέρων συνάρτησης f (ζ, α, γ| y) µε δειγµατοληψίες απó τις υπó συνθήκη εκ των …

In this dissertation the problem of semi-supervised spectral unmixing is studied. We describe
a framework of Bayesian techniques that take into account the special characteristics of …

Spectral unmixing of hyperspectral images is one of the most important research fields in
remote sensing. Recently, the direct use of spectral libraries in spectral unmixing is on …

This thesis presents a framework of novel Bayesian signal processing techniques
developed for the unmixing of hyperspectral data. Hyperspectral data consist of hundreds or …