Machine Learning Tools for Automatic Mapping of Martian Landforms

Authors:
Tomasz Stepinski;Ricardo Vilalta;Soumya Ghosh
Affiliations:
Lunar and Planetary Institute;University of Houston;University of Colorado
Venue:
IEEE Intelligent Systems
Year:
2007

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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.