Laser Journal, Volume. 45, Issue 3, 81(2024)

Study on dam leakage AI detection method based on infrared thermal imaging

WANG Jiahao1, DING Yong1、*, HUANG Yinghao2, WANG Yi2, and WU Yulong3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [1] [1] Zhong Q , Wang L , Chen S , et al. Breaches of embankment and landslide dams - State of the art review[J] . Earth - Science Reviews , 2021(12) :103597.

    [4] [4] CHEN S , ZHONG Q , SHEN G. Numerical modeling of earthen dam breach due to piping failure[J] . Water Sci- ence and Engineering , 2019 , 12(3) : 169- 178.

    [8] [8] HIEN P , LE V. Application of isotope tracer techniques for assessing the seepage of the hydropower dam at Tri An , South Vietnam [ J ] . Journal of Radioanalytical & Nuclear Chemistry , 1996 , 206(2) : 295-303.

    [12] [12] Park G ,Lee M ,Jang H ,et al. Thermal anomaly detection in walls via CNN-based segmentation[J] . Automation in Con- struction ,2021 ,125 : 103627.

    [13] [13] Dunderdale C ,Brettenny W ,Clohessy C ,et al. Photovoltaic defect classification through thermal infrared imaging using a machine learning approach[J] . Progress in Photovolta- ics : Research and Applications , 2020 ,28(3) : 177- 188.

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    WANG Jiahao, DING Yong, HUANG Yinghao, WANG Yi, WU Yulong. Study on dam leakage AI detection method based on infrared thermal imaging[J]. Laser Journal, 2024, 45(3): 81

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    Paper Information

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    Received: Jul. 29, 2023

    Accepted: --

    Published Online: Oct. 15, 2024

    The Author Email: Yong DING (njustding@163.com)

    DOI:10.14016/j.cnki.jgzz.2024.03.081

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