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Issue No. 06 - November/December (2007 vol. 22)
ISSN: 1541-1672
pp: 100-106
Soumya Ghosh , University of Colorado
Tomasz Stepinski , Lunar and Planetary Institute
Ricardo Vilalta , University of Houston
ABSTRACT
The Mars planetary missions have produced vast stores of science data. The authors describe machine-learning methods and tools they've used to automate geomorphic mapping of Mars from archived data.
INDEX TERMS
machine learning, Mars
CITATION
Soumya Ghosh, Tomasz Stepinski, Ricardo Vilalta, "Machine Learning Tools for Automatic Mapping of Martian Landforms", IEEE Intelligent Systems, vol. 22, no. , pp. 100-106, November/December 2007, doi:10.1109/MIS.2007.114
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