Abstract
Impact craters are the most outstanding and attractive geomorphological features on the surface of the planets, showing variety and complexity of the surface morphology. The accurate recognition of impact craters on Mars is very useful to analyze and understand the relative dating of Martian surface. In this chapter, four crater-detection methods have been presented and discussed with various extent of discrimination ability on Martian images or topography data. The modified ad boosting approach demonstrates the best performance in classification of craters, while the algorithms based on topography data have low efficiency in automatic detection. Comparing to previous solutions, the modified ad boosting method has greatly improved the detecting performance of the algorithm and reduced detection time.
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Zhang, T., Jin, S. (2015). Automatic Recognition of Impact Craters on the Martian Surface from DEM and Images. In: Jin, S., Haghighipour, N., Ip, WH. (eds) Planetary Exploration and Science: Recent Results and Advances. Springer Geophysics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45052-9_6
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