Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 1, 147(2024)

Research on Real-Time Automatic Landslide Recognition Technology Based on Optical Image

Hui WANG1... Shuochao FAN1, Xiaoyin HUANG2, Peng QIU2, Jingzhe YU3 and Jintian LI4,* |Show fewer author(s)
Author Affiliations
  • 1State Grid Jibei Electric Power Co. Ltd., Beijing 100054, China
  • 2Beijing EHV Power Transmission Company, State Grid Jibei Electric Power Co. Ltd., Beijing 102488, China
  • 3Electric Power Research Institute, State Grid Jibei Electric Power Co. Ltd., Beijing 100045, China
  • 4Beijing Deep Blue Space Remote Sensing Technology Co., Ltd., Beijing 100101, China
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    Figures & Tables(12)
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    • Table 1. Classification rules of vegetation disturbance in Behling method

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      Table 1. Classification rules of vegetation disturbance in Behling method

      $ I $$ {N}_{2} < 0.63 $$ {N}_{2} < 0.42 $$ {N}_{2} < 0.21 $
      $ > 1.05 $$ 1 $$ 4 $$ 7 $
      $ > 1.10 $$ 2 $$ 5 $$ 8 $
      $ > 1.15 $$ 3 $$ 6 $$ 9 $
    • Table 2. Detection index calculation of landslide detection method in this paper

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      Table 2. Detection index calculation of landslide detection method in this paper

      滑坡总数TPFNFPDP/%QP/%CE/%
      29242392.3182.7611.11
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    Hui WANG, Shuochao FAN, Xiaoyin HUANG, Peng QIU, Jingzhe YU, Jintian LI. Research on Real-Time Automatic Landslide Recognition Technology Based on Optical Image[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(1): 147

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    Paper Information

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    Received: Feb. 8, 2023

    Accepted: May. 16, 2023

    Published Online: Apr. 22, 2024

    The Author Email: LI Jintian (Lijintian_2021@163.com)

    DOI:10.3969/j.issn.1009-8518.2024.01.013

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