Journal of Astronautics ›› 2015, Vol. 36 ›› Issue (2): 203-210.doi: 10.3873/j.issn.1000-1328.2015.02.011

Previous Articles     Next Articles

A Robust Match Algorithm for Asteroid Shadow Areas

WEI Ruo yan, RUAN Xiao gang, XIAO Yao, ZHU Xiao qing, HUANG Jing, PANG Tao   

  1. 1. School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China;
     2. Center for Intelligent Machine, McGill University, Montreal H3A0C3, Canada
  • Received:2014-01-08 Revised:2014-07-10 Online:2015-02-15 Published:2015-02-25


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.

Key words: Matching, Shadow area, Affine normalization, Multiple angles sift, Visual angle change

CLC Number: