TY - JOUR
TI - On the unmixing of MEx/OMEGA hyperspectral data
AU - Themelis, K.E.
AU - Schmidt, F.
AU - Sykioti, O.
AU - Rontogiannis, A.A.
AU - Koutroumbas, K.D.
AU - Daglis, I.A.
JO - Planetary and Space Science
PY - 2012
VL - 68
TODO - 1
SP - 34-41
PB - 
SN - 0032-0633
TODO - 10.1016/j.pss.2011.11.015
TODO - Comparative studies;  Data sets;  Estimation performance;  HyperSpectral;  Hyperspectral Data;  Hyperspectral imagery;  Linear unmixing;  MAP estimator;  MARS-EXPRESS;  Maximum A posteriori probabilities;  OMEGA data;  Unmixing, Algorithms;  Remote sensing, Estimation
TODO - This paper presents a comparative study of three different types of estimators used for supervised linear unmixing of two MEx/OMEGA hyperspectral cubes. The algorithms take into account the constraints of the abundance fractions, in order to get physically interpretable results. Abundance maps show that the Bayesian maximum a posteriori probability (MAP) estimator proposed in Themelis and Rontogiannis (2008) outperforms the other two schemes, offering a compromise between complexity and estimation performance. Thus, the MAP estimator is a candidate algorithm to perform ice and minerals detection on large hyperspectral datasets. © 2011 Elsevier Ltd.
ER -