您当前的位置:
首页 >
文章列表页 >
Intelligent Recognition of Urban Flood Depth Based on Mask RCNN
更新时间:2026-04-02
    • Intelligent Recognition of Urban Flood Depth Based on Mask RCNN

    • PEARL RIVER   Vol. 47, Issue 3, Pages: 32-40(2026)
    • DOI:10.3969/j.issn.1001-9235.2026.03.004    

      CLC: TV8
    • Received:23 July 2025

      Revised:2025-09-04

      Accepted:09 September 2025

      Online First:17 October 2025

      Published:25 March 2026

    移动端阅览

  • HUANG Lihong,CHEN Yisi,LIN Heng,et al.Intelligent Recognition of Urban Flood Depth Based on Mask RCNN[J].PEARL RIVER,2026,47(03):32-40. DOI: 10.3969/j.issn.1001-9235.2026.03.004.

  •  
  •  

0

Views

99

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research on Monitoring method of Urban Road Waterlogging Depth Based on Deep Learning and Ellipse Detection
Study on Disaster Law of Surface Waterlogging in Tidal Area under Extreme Weather: Case of Haizhu, Guangzhou
A Rapid Inundation Simulation Method for Urban Waterlogging in Plain Polder Areas Based on Machine Learning
Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning

Related Author

HUANG Lihong
CHEN Yisi
LIN Heng
SHI Junbo
CHEN Wenjie
LIAO Yuhong
HUANG Guoru
DENG Fei

Related Institution

Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources
South China University of Technology,State Key Laboratory of Subtropical Building Science
Guangdong Engineering Technology Research Center of Safety and Greenization for Water Conservancy Project
South China University of Technology,School of Civil Engineering and Transportation
0