Auto-Detection of Impact Crater Statistics and Crater Morphologies in Mars THEMIS Data

Details Auto-Detection of Impact Crater Statistics and Crater Morphologies in Mars THEMIS Data Auto-Detection of Impact Crater Statistics and Crater Morphologies in Mars THEMIS Data

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003agufm.p41b0409p&link_type=abstract

American Geophysical Union, Fall Meeting 2003, abstract #P41B-0409

Mathematics

Logic

5420 Impact Phenomena (Includes Cratering), 5464 Remote Sensing, 5494 Instruments And Techniques, 6225 Mars, 6297 Instruments And Techniques

Scientific paper

One of the challenges of planetary science is the development of tools adequate to provide automated crater statistics, for use in chronology, geomorphology and a variety of other investigations. We will present the current results of an ongoing effort to develop new tools for culling THEMIS imagery for crater statistics. Our eventual goal is to generate crater density and age maps of Mars. We are also developing tools to probe the morphologies and near-surface compositions of type-class craters. One crater type of particular significance is the rampart crater, which is unique to Mars. These are widely believed to be the result of impacts into volatile-rich surface materials. We will present the results of our examination of the spectral and morphological properties of several rampart craters in THEMIS IR images as a demonstration of image processing and automated feature extraction techniques. Using techniques developed at Los Alamos National Laboratory, we are able to obtain an automated count of craters in an image, their centroids and radii, extract spectra and compare them to spectral libraries of known reference minerals.

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