Other
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agufm.p72a0479r&link_type=abstract
American Geophysical Union, Fall Meeting 2002, abstract #P72A-0479
Other
5400 Planetology: Solid Surface Planets, 5464 Remote Sensing, 5470 Surface Materials And Properties, 5494 Instruments And Techniques
Scientific paper
Reflectance spectroscopy is now a standard tool for studying the mineral composition of rock and soil samples and for remote sensing of terrestrial and extraterrestrial surfaces. We describe research on automated methods of mineral identification from reflectance spectra and give evidence that a simple algorithm, adapted from a well-known search procedure for Bayes nets, identifies the most frequently occurring classes of carbonates with reliability equal to or greater than that of human experts. We compare the reliability of the procedure to the reliability of several other automated methods adapted to the same purpose. Evidence is given that the procedure can be applied to some other mineral classes as well. Since the procedure is fast with low memory requirements, it is suitable for on-board scientific analysis by orbiters or surface rovers.
Gazis Paul
Glymour C.
Ramsey Jane
Roush Ted
Spirtes Peter
No associations
LandOfFree
Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1892366