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Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning

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 crat...

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Detalles Bibliográficos
Autores principales: Yang, Chen, Zhao, Haishi, Bruzzone, Lorenzo, Benediktsson, Jon Atli, Liang, Yanchun, Liu, Bin, Zeng, Xingguo, Guan, Renchu, Li, Chunlai, Ouyang, Ziyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755906/
https://www.ncbi.nlm.nih.gov/pubmed/33353954
http://dx.doi.org/10.1038/s41467-020-20215-y