期刊文献+

Integrating Shipborne Images with Multichannel Deep Learning for Landslide Detection 被引量:2

原文传递
导出
摘要 0 INTRODUCTION.Landslide disasters in recession zones along riverbanks impose significant global social,economic,and ecological damage.These areas are particularly susceptible to landslides.They inflict significant harm due to fluctuating water levels(Meng et al.,2023;Dai et al.,2021;Li et al.,2021).This,in turn,endangers the safety and accessibility of roads and waterways adjacent to rivers,and hydropower station and reservoir security(Yan et al.,2022;Guo et al.,2020;Tang et al.,2017).
出处 《Journal of Earth Science》 SCIE CAS CSCD 2024年第1期296-300,共5页 地球科学学刊(英文版)
基金 supported by the National Natural Science Foundation of China(Nos.42090054,41931295) the Natural Science Foundation of Hubei Province of China(No.2022CFA002) the China Scholarship Council(No.202206410072)for funding his research at the University of Oslo,Norway。
  • 相关文献

参考文献7

二级参考文献64

共引文献55

同被引文献13

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部