Τίτλος:
On the unmixing of MEx/OMEGA hyperspectral data
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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.
Συγγραφείς:
Themelis, K.E.
Schmidt, F.
Sykioti, O.
Rontogiannis, A.A.
Koutroumbas, K.D.
Daglis, I.A.
Περιοδικό:
Planetary and Space Science
Λέξεις-κλειδιά:
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
DOI:
10.1016/j.pss.2011.11.015
