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.
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Bandeira, L.P.C., Saraiva, J., Pina, P. (2007). Development of a Methodology for Automated Crater Detection on Planetary Images. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_26
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DOI: https://doi.org/10.1007/978-3-540-72847-4_26
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