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In this paper, a robust match algorithm for shadow area extraction in the process of visual autonomous navigation for attitudes estimation in planetary landing is proposed. First, the stable shadow areas areextracted. Then, an affine normalization algorithm is applied to normalize the shadow areas. At last, the featuresare extracted by using multiple angles sift (MA-SIFT) description operator, the matching pairs are got and the mismatches are removed. Comparative trial are conductedto compare with SIFT algorithm. It is shown that the matching rate can be maintained at a higher level by the use of the proposed algorithm, even there are large visual angle change between image pairs. ©, 2015, China Spaceflight Society. All right reserved.
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