Physics
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004icar..172..641g&link_type=abstract
Icarus, Volume 172, Issue 2, p. 641-646.
Physics
6
Scientific paper
We have developed an artificial neural net detector for use on board Mars rovers that correctly identifies calcite under Mars analogue dust (JSC Mars-1 regolith simulant) layers up to ˜100 μm thickness and 80% aerial coverage. Both the detector output and the band depth of the ˜2300 nm CO=3 absorption are linearly related to the surface area of exposed calcite. This detector provides a means for rapid and robust automated recognition of calcite on Mars in areas of active aeolian erosion.
Bornstein Benjamin
Castano Rebecca
Gilmore Martha S.
Greenwood James Paul
Merrill Matthew D.
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