@article{3070512,
    title = "On the unmixing of MEx/OMEGA hyperspectral data",
    author = "Themelis, K.E. and Schmidt, F. and Sykioti, O. and Rontogiannis, A.A. and Koutroumbas, K.D. and Daglis, I.A.",
    journal = "Planetary and Space Science",
    year = "2012",
    volume = "68",
    number = "1",
    pages = "34-41",
    issn = "0032-0633",
    doi = "10.1016/j.pss.2011.11.015",
    keywords = "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",
    abstract = "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."
}