Automated Mineral Detection in Visible/Near-Infrared Spectra for Focus-of-Attention

Details Automated Mineral Detection in Visible/Near-Infrared Spectra for Focus-of-Attention Automated Mineral Detection in Visible/Near-Infrared Spectra for Focus-of-Attention

Mar 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007lpi....38.2339b&link_type=abstract

38th Lunar and Planetary Science Conference, (Lunar and Planetary Science XXXVIII), held March 12-16, 2007 in League City, Texas

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Scientific paper

We are developing automated supervised algorithms that will rapidly
classify hyperspectral data and identify geologically important
minerals. These detectors will be provide a mechanism to search full
data sets for targets of interest.

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