HR: 1340h
AN: P23A-0185    [Abstracts]
TI: From Crater to Graph: Manual and Automated Crater Counting Techniques
AU: * Plesko, C S
EM: cplesko@ucsc.edu
AF: Earth Science Dept., U. C. Santa Cruz, 1156 High St., Santa Cruz, CA 95064
AU: * Plesko, C S
EM: cplesko@ucsc.edu
AF: Los Alamos National Laboratory, Mail Stop D436 PO Box 1663, Los Alamos, NM 87544 United States
AU: Werner, S C
EM: swerner@zedat.fu-berlin.de
AF: Earth Sciences Dept., Freie Univ. Berlin, Malteserstr. 74-100, Building D, Berlin, D-12249 Germany
AU: Brumby, S P
EM: brumby@lanl.gov
AF: Los Alamos National Laboratory, Mail Stop D436 PO Box 1663, Los Alamos, NM 87544 United States
AU: Foing, B H
EM: bernard.foing@esa.int
AF: European Space Agency, ESTEC/SCI-S, European Space Research & Technology Centre Keplerlaan 1 Postbus 299, Noordwijk, 2200 Netherlands
AU: Asphaug, E
EM: asphaug@es.ucsc.edu
AF: Earth Science Dept., U. C. Santa Cruz, 1156 High St., Santa Cruz, CA 95064
AU: Neukum, G
EM: gneukum@zedat.fu-berlin.de
AF: Earth Sciences Dept., Freie Univ. Berlin, Malteserstr. 74-100, Building D, Berlin, D-12249 Germany
AU: Team, H
EM: gneukum@zedat.fu-berlin.de
AF: Earth Sciences Dept., Freie Univ. Berlin, Malteserstr. 74-100, Building D, Berlin, D-12249 Germany
AU: Team, I
EM: brumby@lanl.gov
AF: Los Alamos National Laboratory, Mail Stop D436 PO Box 1663, Los Alamos, NM 87544 United States
AB: Impact craters are some of the most abundant, and most interesting features on Mars. They hold a wealth of information about Martian geology, providing clues to the relative age, local composition and erosional history of the surface. A great deal of effort has been expended to count and understand the nature of planetary crater populations (Hartman and Neukum, 2001). Highly trained experts have developed personal methods for conducting manual crater surveys. In addition, several efforts are underway to automate this process in order to keep up with the rapid increase in planetary surface image data. These efforts make use of a variety of methods, including the direct application of traditional image processing algorithms such as the Hough transform, and recent developments in genetic programming, an artificial intelligence-based technique, in which manual crater surveys are used as examples to `grow' or `evolve' crater counting algorithms. (Plesko, C. S. et al., LPSC 2005, Kim, J. R. et al., LPSC 2001, Michael, G. G. P&SS 2003, Earl, J. et al, LPSC 2005) In this study we examine automated crater counting techniques, and compare them with traditional manual techniques on MOC imagery, and demonstrate capabilities for the analysis of multi-spectral and HRSC Digital Terrain Model data as well. Techniques are compared and discussed to define and develop a robust automated crater detection strategy.
DE: 5420 Impact phenomena, cratering (6022, 8136)
DE: 5464 Remote sensing
DE: 5494 Instruments and techniques
DE: 6225 Mars
SC: Planetary Sciences [P]
MN: Fall Meeting 2005