Riccardo La Grassa, Elena Martellato, Gabriele Cremonese, Cristina Re, Adriano Tullo, Silvia Bertoli
{"title":"LU5M812TGT:人工智能驱动的月球撞击坑全球数据库[式略] km","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":"{\"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. 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LU5M812TGT: An AI-Powered global database of impact craters [formula omitted] km on the Moon
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.
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.