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Extensive identification of landslide boundaries using remote sensing images and deep learning method

Chang-dong Li Peng-fei Feng Xi-hui Jiang Shuang Zhang Jie Meng Bing-chen Li

China Geology2024，Vol.7Issue(2)：P.277-290,14.

China Geology2024，Vol.7Issue(2)：P.277-290,14.DOI:10.31035/cg2023148

Extensive identification of landslide boundaries using remote sensing images and deep learning method

Chang-dong Li ¹Peng-fei Feng ²Xi-hui Jiang ³Shuang Zhang ⁴Jie Meng ³Bing-chen Li³

作者信息

1. Faculty of Engineering,China University of Geoscience,Wuhan 430074,China Badong National Observation and Research Station of Geohazards,China University of Geosciences,Wuhan 430074,China
2. School of Mechanical Engineering and Electronic Information,China University of Geosciences,Wuhan 430074,China
3. Faculty of Engineering,China University of Geoscience,Wuhan 430074,China
4. College of Geology Engineering and Geomatics,Chang’an University,Xi’an 710054,China
折叠

摘要

关键词

Geohazard/Landslide boundary detection/Remote sensing image/Deep learning model/Steep slope/Large annual rainfall/Human settlements/Infrastructure/Agricultural land/Eastern Tibetan Plateau/Geological hazards survey engineering

分类

天文与地球科学

引用本文复制引用

Chang-dong Li,Peng-fei Feng,Xi-hui Jiang,Shuang Zhang,Jie Meng,Bing-chen Li..Extensive identification of landslide boundaries using remote sensing images and deep learning method[J].China Geology,2024,7(2):P.277-290,14.

基金项目

supported by the National Natural Science Foundation of China(Grant Nos.42090054,41931295) （Grant Nos.42090054,41931295）

the Natural Science Foundation of Hubei Province of China(2022CFA002)。（2022CFA002）

China Geology

OACSTPCD

ISSN：2096-5192

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