Journal of Astronautics ›› 2022, Vol. 43 ›› Issue (7): 921-929.doi: 10.3873/j.issn.1000-1328.2022.07.008

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Detection and Recognition Method for Multiview and Multiscale Crater Features

GAO Xizhen, TANG Liang, CUI Pingyuan   

  1. 1. Beijing Institute of Control Engineering, Beijing 100094, China; 2. Key Laboratory of Space Intelligent Control Technology, Beijing 100094, China; 3. Institute of Deep Space Exploration, Beijing Institute of Technology, Beijing 100081, China
  • Received:2021-10-26 Revised:2022-01-04 Online:2022-07-15 Published:2022-07-15

Abstract: Aiming at the problem that the features can not be detected and the recognition efficiency is low due to the large range of viewing angle scale changes between sequence images, a multi view and multi scale crater feature detection and recognition method is proposed. The feature edges of crater image can be extracted roughly based on the information of light and dark regions and morphological processing. The fast Fourier transform is used to calculate the matching degree between the template and the image feature, so as to realize the rough location of the image feature region. On this basis, by introducing inertial measurement information, the overlapping area between images is calculated, the template shape is updated, and the search area is predicted. Therefore, the difficulty of feature detection and low recognition efficiency caused by the view and scale distortions and information redundancy of sequence images is solved. At last, the fine detection is realized in a single crater region.

Key words: Extraterrestrial exploration, Crater, Feature detection, Feature recognition, Multiview and multiscale

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