首页|Impact crater recognition methods:A review

Impact crater recognition methods:A review

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Impact craters are formed due to the high-speed collisions between small to medium-sized celestial bodies.Impact is the most significant driving force in the evolution of celestial bodies,and the impact craters provide crucial insights into the formation,evolution,and impact history of celestial bodies.In this paper,we present a detailed review of the characteristics of impact craters,impact crater remote sensing data,recognition algorithms,and applications related to impact craters.We first provide a detailed description of the geometric texture,illumination,and morphology characteristics observed in remote sensing data of craters.Then we summarize the remote sensing data and cataloging databases for the four terrestrial planets(i.e.,the Moon,Mars,Mercury,and Venus),as well as the impact craters on Ceres.Subsequently,we study the advancement achieved in the traditional methods,machine learning methods,and deep learning methods applied to the classification,segmentation,and recognition of impact craters.Furthermore,based on the analysis results,we discuss the existing challenges in impact crater recognition and suggest some solutions.Finally,we explore the implementation of impact crater detection algorithms and provide a forward-looking perspective.

Terrestrial planetsDeep space explorationImpact craterImpact crater recognitionDeep learning

Dong CHEN、Fan HU、Liqiang ZHANG、Yunzhao WU、Jianli DU、Jiju PEETHAMBARAN

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College of Civil Engineering,Nanjing Forestry University,Nanjing 210037,China

Department of Geography,State Key Laboratory of Remote Sensing Science,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China

Purple Mountain Observatory,Chinese Academy of Sciences,Nanjing 210023,China

Key Laboratory of Space Object and Debris Observation,Chinese Academy of Sciences,Nanjing 210023,China

Department of Mathematics and Computing Science,Saint Mary's University,Halifax,NS B3H 3C3,Canada

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

41925006120030754237138342271450

2024

中国科学:地球科学(英文版)
中国科学院

中国科学:地球科学(英文版)

影响因子:1.002
ISSN:1674-7313
年,卷(期):2024.67(6)