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.
['Lourenco Bandeira', 'José Saraiva', 'Pedro Pina']
Development of a Methodology for Automated Crater Detection on Planetary Images