Automatic Detection of Sub-km Craters Using Shape and Texture Information

Details Automatic Detection of Sub-km Craters Using Shape and Texture Information Automatic Detection of Sub-km Craters Using Shape and Texture Information

Mar 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010lpi....41.1144b&link_type=abstract

41st Lunar and Planetary Science Conference, held March 1-5, 2010 in The Woodlands, Texas. LPI Contribution No. 1533, p.1144

Physics

Scientific paper

A new algorithm utilizes shape and texture information in high
resolution orbital images to detect subkilometer craters on Mars with a
detection rate >82%.

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