Abstract
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).
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Acknowledgments
The authors acknowledge the financial support provided by Coordenação de Aperfeiçoamento de Pessoal de Ensino Superior (CAPES – Grant: 9022/13-9), the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP – Grant: 2014/08822-2), the Portuguese Science Foundation (FCT) through project ANIMAR (PTDC/CTE-SPA/110909/2009) and support for MM and LB (SFRH/BPD/79546/2011).
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Pedrosa, M.M., Pina, P., Machado, M., Bandeira, L., da Silva, E.A. (2015). Crater Detection in Multi-ring Basins of Mercury. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_59
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DOI: https://doi.org/10.1007/978-3-319-19390-8_59
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