Generation and performance of automated jarosite mineral detectors for visible/near-infrared spectrometers at Mars

Details Generation and performance of automated jarosite mineral detectors for visible/near-infrared spectrometers at Mars Generation and performance of automated jarosite mineral detectors for visible/near-infrared spectrometers at Mars

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008icar..195..169g&link_type=abstract

Icarus, Volume 195, Issue 1, p. 169-183.

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Scientific paper

We have developed two automated detectors that can recognize the sulfate mineral jarosite in unknown visible to near-infrared spectra (350 2500 nm). The two detectors are optimized for use within the terrestrial and martian atmospheres. The detectors are built from Support Vector Machines trained using a generative model to create linear mixtures of library mineral spectra. Both detectors performed with an average ˜90% accuracy on laboratory spectra of single minerals and the laboratory and field spectra of rocks collected in a hydrothermal environment. This type of algorithm will contribute to the efficiency of onboard data analysis of landed and orbital visible/near-infrared spectrometers at Mars.

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