Automatic Lunar Crater Detection Based on DEM Data Using a Max Curvature Detection Method
文献类型：期刊论文
| 作者 | Duan, Quan1,2; Liu, Ronggao1; Liu, Yang1 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2024 |
| 卷号 | 21页码:5 |
| 关键词 | Crater detection algorithm (CDA) digital elevation model (DEM) lunar craters Moon |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2024.3368705 |
| 通讯作者 | Liu, Ronggao(liurg@igsnrr.ac.cn) |
| 英文摘要 | Lunar crater is crucial for estimating the age of the Moon and investigating the evolution of both the Moon and the solar system. However, the bottom of the crater is usually uneven, resulting in automatic detection difficult to obtain a complete impact crater. This letter proposes an automated lunar crater detection algorithm (CDA), which is robust to the complicated variations of impact craters, based on digital elevation model (DEM) data. The lowest points on the DEM were extracted as the potential centers of craters. The rim of craters was first detected by a max curvature detection method and then completed by the watershed algorithm. The algorithm was applied to the lunar mare and highland and compared with the crater database obtained by Robbins. The results show that the algorithm could detect numerous small and complicated types of craters. In the lunar highlands, the algorithm detected 74% of documented impact craters, the newly detected impact craters accounted for 82.79%, and the overall reliability exceeded 81%. In the lunar mare, the algorithm identified over 50% of established craters, more than 66% of detected craters were new, and the overall reliability was greater than 56%. The algorithm calculated the structural attributes and obtained the true rim. Only the DEM data are required, and the algorithm is portable to other planets, such as Mars. |
| WOS关键词 | IMPACT CRATERS ; MORPHOLOGICAL-CHARACTERISTICS |
| 资助项目 | National Key Research and Development Program of China |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001180741400006 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/204174]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Ronggao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Quan,Liu, Ronggao,Liu, Yang. Automatic Lunar Crater Detection Based on DEM Data Using a Max Curvature Detection Method[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2024,21:5. |
| APA | Duan, Quan,Liu, Ronggao,&Liu, Yang.(2024).Automatic Lunar Crater Detection Based on DEM Data Using a Max Curvature Detection Method.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,21,5. |
| MLA | Duan, Quan,et al."Automatic Lunar Crater Detection Based on DEM Data Using a Max Curvature Detection Method".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 21(2024):5. |
入库方式： OAI收割
来源：地理科学与资源研究所
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