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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| 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 |