This paper presents the automated detection of impact craters on large regions of Mercury. The processing sequence is composed by three main phases: the first consists on creating the image mosaics of the large areas of interest, the second by finding crater candidates on these mosaics, and finally by extracting a set of features that are used in the classification by SVM-Support Vector Machine in the third phase. The detections are performed on images acquired by the MDIS-NAC camera of MESSENGER probe covering three large basins on Mercury (Rachmaninoff, Mozart and Raditladi).
CITATION STYLE
Pedrosa, M. M., Pina, P., Machado, M., Bandeira, L., & da Silva, E. A. (2015). Crater detection in multi-ring basins of mercury. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9117, pp. 522–529). Springer Verlag. https://doi.org/10.1007/978-3-319-19390-8_59
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