Acta Optica Sinica, Volume. 40, Issue 24, 2401002(2020)

Estimation of Surface Layer Optical Turbulence Using Artificial Neural Network

Xiaowei Chen1,2, Wenyue Zhu1,2、*, Xianmei Qian1,2、**, Tao Luo1,2, Gang Sun1,2, Qing Liu1,2, Xuebin Li1,2, and Ningquan Weng1,2
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2Anhui Laboratory of Advanced Laser Technology, Hefei, Anhui 230037, China
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    Figures & Tables(8)
    Surface-layer atmospheric parameter measuring system
    MLP neural network structure
    Daily evolution of Cn2 (16 to 18 May 2014) and meteorological parameters(16 May 2014). (a) Cn2; (b) temperature; (c) relat
    Iterative computation result of genetic algorithm in feature selection process
    Performance of MLP model varying with number of neurons. (a) MAE; (b) R2
    Estimated value and measured value of Cn2 in observation point 1
    Estimated value and measured value of Cn2 in nighttime, daytime, and transition time
    Estimated value and measured value of Cn2 in observation point 2
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    Xiaowei Chen, Wenyue Zhu, Xianmei Qian, Tao Luo, Gang Sun, Qing Liu, Xuebin Li, Ningquan Weng. Estimation of Surface Layer Optical Turbulence Using Artificial Neural Network[J]. Acta Optica Sinica, 2020, 40(24): 2401002

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Aug. 3, 2020

    Accepted: Sep. 19, 2020

    Published Online: Nov. 23, 2020

    The Author Email: Zhu Wenyue (zhuwenyue@aiofm.ac.cn), Qian Xianmei (qianxianmei@aiofm.ac.cn)

    DOI:10.3788/AOS202040.2401002

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