Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 4, 405(2024)

An improved cloud detection algorithm based on differential enhancement

SHU Xu1,2、*, WANG Zhenzhu2,3,4, DENG Shumei1, KUANG Zhiqiang2,4, WU Decheng2,3, and LIU Dong2,3,4
Author Affiliations
  • 1School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China
  • 2Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
  • 3Advanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China
  • 4University of Science and Technology of China, Hefei 230026, China
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    Figures & Tables(13)
    Features of backscattered signal of 1064 nm Mie scattering lidar (at 19:00, Novenber 15, 2017). (a) Raw signal;(b) differential signal; (c) second order differential signal
    Flow chart of IDEM algorithm
    Calculation of cloud peak function. (a) Range correction signal; (b) second order differential signal; (c) cloud peak function
    Calculation of cloud boundary function. (a) First order differential signal; (b) second order differential signal;(c) cloud boundary function
    Features of single-layer cloud with double peaks. (a) Raw signal; (b) cloud peak function; (c) cloud boundary function
    Detection results of the first kind of cloud (single-layer cloud with single peak) under different SNR. (a) SNR = 40;(b) SNR = 20; (c) SNR = 10; (d) SNR = 5
    Detection results of the second kind of cloud (single-layer cloud with double peaks) under different SNR. (a) SNR = 40; (b) SNR = 20; (c) SNR = 10; (d) SNR = 5
    Detection results of the third kind of cloud (single-layer cloud with double peaks) under different SNR. (a) SNR = 40;(b) SNR = 20; (c) SNR = 10; (d) SNR = 5
    Result comparison of 1064 nm meter scattering lidar (November 15-16, 2017). (a) Range correction signal; (b) result of DEM algorithm; (c) result of IDEM algorithm
    Result comparison of 532 nm meter scattering lidar (October 21, 2021). (a) Range correction signal; (b) result of DEM algorithm; (c) result of IDEM algorithm
    • Table 1. Simulation parameters of lidar system

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      Table 1. Simulation parameters of lidar system

      System parameterValue
      Output energy/mJ180
      Optical transmittance of emission0.5
      Optical transmittance of reception0.2
      Receiver diameter/mm200
      Range resolution/m7.5
      Geometric overlap factor1
      Wavelength/nm532
    • Table 2. Maximum difference between cloud base range bin and true value detected by the two algorithms under different SNR

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      Table 2. Maximum difference between cloud base range bin and true value detected by the two algorithms under different SNR

      Parameter

      DEM

      IDEM

      SNR

      40

      20

      10

      5

      40

      20

      10

      5

      Max difference

      4

      7

      12

      10

      2

      5

      7

      6

    • Table 3. Maximum difference between cloud top range bin and true value detected by the two algorithms under different SNR

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      Table 3. Maximum difference between cloud top range bin and true value detected by the two algorithms under different SNR

      Parameter

      DEM

      IDEM

      SNR

      40

      20

      10

      5

      40

      20

      10

      5

      Max difference

      2

      10

      8

      13

      2

      3

      3

      7

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    Xu SHU, Zhenzhu WANG, Shumei DENG, Zhiqiang KUANG, Decheng WU, Dong LIU. An improved cloud detection algorithm based on differential enhancement[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(4): 405

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    Paper Information

    Category:

    Received: May. 10, 2022

    Accepted: --

    Published Online: Jan. 8, 2025

    The Author Email:

    DOI:10.3969/j.issn.1673-6141.2024.04.002

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