Comprehensive mapping of spectral classes in the imager for Mars Pathfinder Super Pan
1William H. Farrand, 2Erzsébet Merényi, 3Jeffrey R. Johnson and 4James F. Bell III
1Space Science Institute, 4750 Walnut Street #205, Boulder, CO 80301 USA
2Department of Electrical Engineering, Rice University, Houston, TX 77005 USA
3Astrogeology Team, U.S. Geological Survey, Flagstaff, AZ 86001 USA
4Department of Astronomy, Cornell University, Ithaca, NY 14853 USA
Mars 4, 33-55, 2008 | doi:10.1555/mars.2008.0004
Received November 9, 2007 | Accepted June 5, 2008 | Published July 11, 2008
This paper details the application of an artificial neural network classification architecture to the Mars Pathfinder Super Pan. Comprehensive class maps and new information about those classes are presented.
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