Laser Journal, Volume. 45, Issue 2, 43(2024)

Research on night-time uninterrupted monitoring technology for landslides based on machine vision

LIN Bokun1... LI Denghua2,3,*, DING Yong1 and LI Yuanmeng1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    A machine vision-based night-time uninterrupted monitoring technique for landslides is suggested in order to increase the capability of real- time detection of landslide dangers. By extracting the local displacement of landslide features at night ,this method tracks the regional displacement of landslides. Firstly ,the binarization method is used to extract the landslide feature point array; then ,the feature triangles of different point arrays are used to trans- form the image coordinate system to achieve the matching of points and calculate the pixel displacement. Finally ,the conversion of the pixel moving distance into the accurate distance using the principle of monocular distance measure- ment to realize slope night monitoring. The outdoor test results show that this technology can continuously monitor land- slides at night while maintaining high precision and can be applied in actual engineering.

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    LIN Bokun, LI Denghua, DING Yong, LI Yuanmeng. Research on night-time uninterrupted monitoring technology for landslides based on machine vision[J]. Laser Journal, 2024, 45(2): 43

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    Paper Information

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    Received: Jul. 20, 2023

    Accepted: --

    Published Online: Oct. 15, 2024

    The Author Email: Denghua LI (dhli@nhri.cn)

    DOI:10.14016/j.cnki.jgzz.2024.2.043

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