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Due to the variations in the terrain, illumination and scale, it is difficult to detect craters from remote sensing image of planet surface. This paper proposes a novel automatic crater detection method by introducing the local non-negative matrix factorization (LNMF) for remote sensing images of Martian surface. LNMF is aimed at learning localized, part-based features from global samples, which has...
As an essential geomorphological structures on planetary surface, impact craters can provide significant information in determining the planetary chronology. This paper proposes a novel automatic crater detection algorithm by using digital elevation model (DEM) data. The method includes: 1) pre-processing of the original DEM data, which can eliminate the effect of other landform; 2) iterative crater...
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