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Issue No. 06 - November/December (2007 vol. 22)
ISSN: 1541-1672
pp: 100-106
Tomasz Stepinski , Lunar and Planetary Institute
Ricardo Vilalta , University of Houston
Soumya Ghosh , University of Colorado
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

S. Ghosh, T. Stepinski and R. Vilalta, "Machine Learning Tools for Automatic Mapping of Martian Landforms," in IEEE Intelligent Systems, vol. 22, no. , pp. 100-106, 2007.
doi:10.1109/MIS.2007.114
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