Computer Science – Performance
Scientific paper
Apr 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001jgr...106.7765g&link_type=abstract
Journal of Geophysical Research, Volume 106, Issue E4, p. 7765-7774
Computer Science
Performance
2
Planetology: Solid Surface Planets: Remote Sensing, Planetology: Solid Surface Planets: Instruments And Techniques, Planetology: Solar System Objects: Mars, General Or Miscellaneous: Techniques Applicable In Three Or More Fields
Scientific paper
An autonomous system has been developed to identify the presence of carbonates in near-IR reflectance spectra (0.35-2.5 μm). This system consists of a set of feature-extraction algorithms that operate in conjunction with a rule-based system to identify carbonates on the basis of presence and characteristics of absorption bands near 2.33 and 2.5 μm. This autonomous system was tested during the February 1999 Marsokhod field operations. While performance was compromised to some extent by noise problems associated with the spectrometer, the autonomous system successfully rejected all noisy spectra. Among the nonnoisy spectra that it accepted, it identified carbonates with a success rate of 70% compared with the performance of the field team, a success rate of 82-90% compared with the performance of the remote science team, and a false positive rate of 0%.
Gazis Paul R.
Roush Ted
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