Development of a Methodology for Automated Crater Detection on Planetary Images

Authors:
Lourenço P. Bandeira;José Saraiva;Pedro Pina
Affiliations:
CERENA - Instituto Superior Técnico, Lisboa, Portugal;CERENA - Instituto Superior Técnico, Lisboa, Portugal;CERENA - Instituto Superior Técnico, Lisboa, Portugal
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Year:
2007

Citing 2
Cited 1

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Abstract

This paper presents a methodology for the automated detection of impact craters on images of planetary surfaces. This modular approach includes a phase of candidate selection, followed by template matching and finally the analysis of a probability volume that allows for the identification of craters on the image. It is applied to a set of images of the surface of the planet Mars, with results that are very promising, in face of future improvements in the methodology.