A deep learning recognition model for landslide terrain based on multi-source data fusion
The traditional high-level remote landslide recognition efficiency which relies on the artificial discrimination of geological experts is low. In this paper, an automatic landslide terrain recognition model based on deep learning is developed to improve the efficiency of the screening of potential l...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Office of The Chinese Journal of Geological Hazard and Control
2022-04-01
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| Серии: | Zhongguo dizhi zaihai yu fangzhi xuebao |
| Предметы: | |
| Online-ссылка: | https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.2022.02-05 |
| Метки: |
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