A deep learning technique-based automatic monitoring method for experimental urban road inundation
A deep learning technique-based automatic monitoring method for experimental urban road inundation
About this item
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Author / Creator
Han, Hao , Hou, Jingming , Bai, Ganggang , Li, Bingyao , Wang, Tian , Li, Xuan , Gao, Xujun , Su, Feng , Wang, Zhaofeng , Liang, Qiuhua and Gong, Jiahui
Publisher
London: IWA Publishing
Journal title
Language
English
Formats
Publication information
Publisher
London: IWA Publishing
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Scope and Contents
Contents
Reports indicate that high-cost, insecurity, and difficulty in complex environments hinder the traditional urban road inundation monitoring approach. This work proposed an automatic monitoring method for experimental urban road inundation based on the YOLOv2 deep learning framework. The proposed method is an affordable, secure, with high accuracy r...
Alternative Titles
Full title
A deep learning technique-based automatic monitoring method for experimental urban road inundation
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5d590c7ea31d433e84cc85b3ed3e699d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d590c7ea31d433e84cc85b3ed3e699d
Other Identifiers
ISSN
1464-7141
E-ISSN
1465-1734
DOI
10.2166/hydro.2021.156
