LU5M812TGT: An AI-Powered global database of impact craters [formula omitted] km on the Moon

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Riccardo La Grassa, Elena Martellato, Gabriele Cremonese, Cristina Re, Adriano Tullo, Silvia Bertoli
{"title":"LU5M812TGT: An AI-Powered global database of impact craters [formula omitted] km on the Moon","authors":"Riccardo La Grassa, Elena Martellato, Gabriele Cremonese, Cristina Re, Adriano Tullo, Silvia Bertoli","doi":"10.1016/j.isprsjprs.2024.11.010","DOIUrl":null,"url":null,"abstract":"We release a new global catalog of impact craters on the Moon containing about 5 million craters. Such catalog was derived using a deep learning model, which is based on increasing the spatial image resolution, allowing crater detection down to sizes as small as 0.4 km. Therefore, this database includes <mml:math altimg=\"si1.svg\" display=\"inline\"><mml:mo>∼</mml:mo></mml:math>69.3% craters with diameter lower than 1 km. The <mml:math altimg=\"si1.svg\" display=\"inline\"><mml:mo>∼</mml:mo></mml:math>28.7% of the catalog contains mainly craters in the 1-5 km diameter range, and the remaining percentage (<mml:math altimg=\"si3.svg\" display=\"inline\"><mml:mo>≲</mml:mo></mml:math>1.9%) has been identified between 5 km and 100 km of diameter. The accuracy of this new crater database was tested against previous well-known global crater catalogs. We found a similar crater size-frequency distribution for craters <mml:math altimg=\"si64.svg\" display=\"inline\"><mml:mo>≥</mml:mo></mml:math>1 km, providing a validation for the crater identification method applied in this work. The add-on of craters as small as half a kilometer is new with respect to other published global catalogs, allowing a finer exploitation of the Lunar surface at a global scale. The LU5M812TGT catalog is available at the following link: <ce:inter-ref xlink:href=\"https://zenodo.org/records/13990480\" xlink:type=\"simple\">https://zenodo.org/records/13990480</ce:inter-ref>.","PeriodicalId":50269,"journal":{"name":"ISPRS Journal of Photogrammetry and Remote Sensing","volume":"16 1","pages":""},"PeriodicalIF":10.6000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISPRS Journal of Photogrammetry and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.isprsjprs.2024.11.010","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

We release a new global catalog of impact craters on the Moon containing about 5 million craters. Such catalog was derived using a deep learning model, which is based on increasing the spatial image resolution, allowing crater detection down to sizes as small as 0.4 km. Therefore, this database includes 69.3% craters with diameter lower than 1 km. The 28.7% of the catalog contains mainly craters in the 1-5 km diameter range, and the remaining percentage (1.9%) has been identified between 5 km and 100 km of diameter. The accuracy of this new crater database was tested against previous well-known global crater catalogs. We found a similar crater size-frequency distribution for craters 1 km, providing a validation for the crater identification method applied in this work. The add-on of craters as small as half a kilometer is new with respect to other published global catalogs, allowing a finer exploitation of the Lunar surface at a global scale. The LU5M812TGT catalog is available at the following link: https://zenodo.org/records/13990480.
LU5M812TGT:人工智能驱动的月球撞击坑全球数据库[式略] km
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信