KMS National Astronomical Observatories, CAS
| Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning | |
Yang, Chen1,2; Zhao, Haishi3; Bruzzone, Lorenzo4; Benediktsson, Jon Atli5; Liang, Yanchun3; Liu, Bin2; Zeng, Xingguo2; Guan, Renchu3; Li, Chunlai2 ; Ouyang, Ziyuan1,2
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| 2020-12-22 | |
| Source Publication | NATURE COMMUNICATIONS
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| ISSN | 2041-1723 |
| Volume | 11Issue:1Pages:15 |
| Abstract | Impact craters, which can be considered the lunar equivalent of fossils, are the most dominant lunar surface features and record the history of the Solar System. We address the problem of automatic crater detection and age estimation. From initially small numbers of recognized craters and dated craters, i.e., 7895 and 1411, respectively, we progressively identify new craters and estimate their ages with Chang'E data and stratigraphic information by transfer learning using deep neural networks. This results in the identification of 109,956 new craters, which is more than a dozen times greater than the initial number of recognized craters. The formation systems of 18,996 newly detected craters larger than 8km are estimated. Here, a new lunar crater database for the mid- and low-latitude regions of the Moon is derived and distributed to the planetary community together with the related data analysis. Using Chang'E data, the authors here identify more than 109,000 previously unrecognized lunar craters and date almost 19,000 craters based on transfer learning with deep neural networks. A new lunar crater database is derived and distributed to the planetary community. |
| Funding Organization | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province |
| DOI | 10.1038/s41467-020-20215-y |
| WOS Keyword | LATE HEAVY BOMBARDMENT ; OPTICAL MATURITY ; MARE BASALTS ; CLASSIFICATION ; CATALOG ; IMAGES ; ORIGIN |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61572228] ; National Natural Science Foundation of China[61972174] ; Key Laboratory of Lunar and Deep Space Exploration[LDSE201906] ; Science-Technology Development Plan Project of Jilin Province of China[20190303006SF] ; Science-Technology Development Plan Project of Jilin Province of China[20190302107GX] ; Industrial Innovation Special Funds Project of Jilin Province[2019C053-5] ; Industrial Innovation Special Funds Project of Jilin Province[2019C053-7] |
| Funding Organization | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Lunar and Deep Space Exploration ; Key Laboratory of Lunar and Deep Space Exploration ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province |
| WOS Research Area | Science & Technology - Other Topics |
| WOS Subject | Multidisciplinary Sciences |
| WOS ID | WOS:000603077300001 |
| Publisher | NATURE RESEARCH |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.bao.ac.cn/handle/114a11/79896 |
| Collection | 中国科学院国家天文台 |
| Corresponding Author | Yang, Chen; Guan, Renchu; Li, Chunlai |
| Affiliation | 1.Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Key Lab Lunar & Deep Space Explorat, Beijing 100101, Peoples R China 3.Jilin Univ, Coll Comp Sci & Technol, Minist Educ, Key Lab Symbol Computat & Knowledge Engn, Changchun 130012, Peoples R China 4.Univ Trento, Dept Informat Engn & Comp Sci, I-38122 Trento, Italy 5.Univ Iceland, Elect & Comp Engn, IS-101 Reykjavik, Iceland |
| Recommended Citation GB/T 7714 | Yang, Chen,Zhao, Haishi,Bruzzone, Lorenzo,et al. Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning[J]. NATURE COMMUNICATIONS,2020,11(1):15. |
| APA | Yang, Chen.,Zhao, Haishi.,Bruzzone, Lorenzo.,Benediktsson, Jon Atli.,Liang, Yanchun.,...&Ouyang, Ziyuan.(2020).Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning.NATURE COMMUNICATIONS,11(1),15. |
| MLA | Yang, Chen,et al."Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning".NATURE COMMUNICATIONS 11.1(2020):15. |
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