Astronomy and Astrophysics – Astrophysics – Instrumentation and Methods for Astrophysics
Scientific paper
2011-12-07
Planetary and Space Science, 2011
Astronomy and Astrophysics
Astrophysics
Instrumentation and Methods for Astrophysics
Scientific paper
10.1016/j.pss.2011.11.015
This article 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.
Daglis Ioannis A.
Koutroumbas Konstantinos D.
Rontogiannis Athanasios A.
Schmidt Frederic
Sykioti Olga
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