Collapse susceptibility evaluation based on an improved two-step sampling strategy and a convolutional neural network
Objective Machine learning has been widely applied in the fields of collapse, landslide and debris flow susceptibility analysis. The selection of nonhazard samples is a key issue in landslide susceptibility analysis. Traditional random sampling and manual labelling methods may involve randomness and...
Main Authors: | Rilang DENG, Qinghua ZHANG, Wei LIU, Lingwei CHEN, Jianhui TAN, Zemao GAO, Xianchang ZHENG |
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Format: | Article |
Language: | zho |
Published: |
Editorial Department of Bulletin of Geological Science and Technology
2024-03-01
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Series: | 地质科技通报 |
Subjects: | |
Online Access: | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20220535 |
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