Computer Science
Scientific paper
Oct 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011epsc.conf..969s&link_type=abstract
EPSC-DPS Joint Meeting 2011, held 2-7 October 2011 in Nantes, France. http://meetings.copernicus.org/epsc-dps2011, p.969
Computer Science
Scientific paper
Detecting minerals on a huge hyperspectral dataset (> To) is a difficult task that we proposed to address using linear unmixing techniques. We test different algorithms with positivity constrains on a typical Martian hyperspectral image of the Syrtis Major volcanic complex. The usefulness of additional constraints, such as sparsity and sum-to-one constrains are discussed. We compare the results with a supervised detection technique based on band ratio.
Bourguignon Sébastien
Dobigeon Nicolas
Le Mouélic Stéphane
Schmidt Frederic
Theys C.
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