Research Survey of Passive Image-Based Impact Crater Detection

DING Meng1, LI Haibo2, CAO Yunfeng3, ZHUANG Likui3

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Journal of Deep Space Exploration ›› 2015, Vol. 2 ›› Issue (3) : 195-202. DOI: 10.15982/j.issn.2095-7777.2015.03.001
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Research Survey of Passive Image-Based Impact Crater Detection

  • DING Meng1, LI Haibo2, CAO Yunfeng3, ZHUANG Likui3
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Abstract

Currently more and more technologies of information science, such as image processing and pattern recognition, are used in the development of space science. The autonomous crater detection which gains many researchers'attention in recent years is one of the good examples in this field. This paper introduces the autonomous crater detection technology from passive images in details. Firstly, the applications of autonomous crater detection in three areas including geology or astronomy, space database establishment and spacecraft navigation and positioning are discussed. Secondly, the state of autonomous crater detection technology is introduced, esp. some typical algorithms are addressed. In order to explain these methods clearly, the related algorithms are classified into three kinds: Unsupervised Detection, Supervised Detection and Combination Detection. Finally, the difficulties, further work of autonomous crater detection and the author's work are addressed shortly.

Keywords

passive image / impact crater / autonomous detection

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DING Meng, LI Haibo, CAO Yunfeng, ZHUANG Likui. Research Survey of Passive Image-Based Impact Crater Detection. Journal of Deep Space Exploration, 2015, 2(3): 195‒202 https://doi.org/10.15982/j.issn.2095-7777.2015.03.001

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