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Short-term displacement prediction for newly established monitoring slopes based on transfer learning

Yuan Tian Yang-landuo Deng Ming-zhi Zhang Xiao Pang Rui-ping Ma Jian-xue Zhang

China Geology2024，Vol.7Issue(2)：P.351-364,14.

China Geology2024，Vol.7Issue(2)：P.351-364,14.DOI:10.31035/cg2024053

Short-term displacement prediction for newly established monitoring slopes based on transfer learning

Yuan Tian ¹Yang-landuo Deng ¹Ming-zhi Zhang ²Xiao Pang ¹Rui-ping Ma ¹Jian-xue Zhang¹

作者信息

1. Institute of Remote Sensing and Geographical Information Systems,Peking University,Beijing 100871,China Beijing Key Laboratory of Spatial Information Integration and Its Applications,Beijing 100871,China
2. Institute of Public Safety Research,Department of Engineering Physics,Tsinghua University,Beijing 100084,China China Institute of Geo-Environment Monitoring,Beijing 100081,China Technology Innovation Center for Geohazard Monitoring and Risk Early Warning,Ministry of Natural Resources,Beijing 100081,China
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摘要

关键词

Landslide/Slope displacement prediction/Transfer learning/Integrated dataset/Transformer/Pre-trained model/Universal Landslide Monitoring Program(ULMP)/Geological hazards survey engineering

分类

天文与地球科学

引用本文复制引用

Yuan Tian,Yang-landuo Deng,Ming-zhi Zhang,Xiao Pang,Rui-ping Ma,Jian-xue Zhang..Short-term displacement prediction for newly established monitoring slopes based on transfer learning[J].China Geology,2024,7(2):P.351-364,14.

基金项目

funded by the project of the China Geological Survey(DD20211364) （DD20211364）

the Science and Technology Talent Program of Ministry of Natural Resources of China(grant number 121106000000180039–2201)。（grant number 121106000000180039–2201）

China Geology

OACSTPCD

ISSN：2096-5192

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