Automated Development of Feature Extraction Tools for Planetary Science Image Datasets

Details Automated Development of Feature Extraction Tools for Planetary Science Image Datasets Automated Development of Feature Extraction Tools for Planetary Science Image Datasets

Mar 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003lpi....34.1758p&link_type=abstract

34th Annual Lunar and Planetary Science Conference, March 17-21, 2003, League City, Texas, abstract no.1758

Computer Science

Learning

1

Scientific paper

We explore development of feature extraction algorithms for Mars Orbiter
Camera narrow angle data using GENIE machine learning software. The
algorithms are successful at detecting craters within the images, and
generalize well to a new image.

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