• Acta Optica Sinica
  • Vol. 42, Issue 24, 2401006 (2022)
Yiming Guo1、2、3, Xiaoqing Wu1、3、*, Chun Qing1、3, Qing Liu1、3, Zhiyuan Wang1、3, Qike Yang1、2、3, and Xiaodan Hu1、2、3
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
  • 2University of Science and Technology of China, Hefei 230026, Anhui , China
  • 3Advanced Laser Technology Laboratory of Anhui Province, Hefei 230037, Anhui , China
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    DOI: 10.3788/AOS202242.2401006 Cite this Article Set citation alerts
    Yiming Guo, Xiaoqing Wu, Chun Qing, Qing Liu, Zhiyuan Wang, Qike Yang, Xiaodan Hu. Calculation of Near-Surface Atmospheric Optical Turbulence Parameter Based on MAD Optical Flow[J]. Acta Optica Sinica, 2022, 42(24): 2401006 Copy Citation Text show less

    Abstract

    An optical flow calculation method is proposed based on median absolute deviation (MAD) to estimate the refractive index structure constant of near-surface atmospheric turbulence, namely, Cn2. Specifically, this paper captures the jitter information of adjacent target images with multiple frames shot by a telescopic system through optical flow calculation and obtains the mean value of the angle-of-arrival fluctuation variance on the transmission path, so as to estimate the refractive index structure constant of near-surface atmospheric turbulence. Subsequently, a 6-day observation experiment is carried out in Hefei, and the mean value of Cn2 estimated by the model is comprehensively compared with the results measured by a micro-temperature sensor on the observation path. As a result, in terms of estimated and measured values, the mean deviation (BIAS), root-mean-square error (RMSE), and correlation coefficients are -0. 0202, 0. 2391, and 0. 8230, respectively. Therefore, it is fully proved that the proposed method can effectively estimate the refractive index structure constant of near-surface atmospheric turbulence and provide reference for the inversion of atmospheric turbulence parameters based on images.
    Yiming Guo, Xiaoqing Wu, Chun Qing, Qing Liu, Zhiyuan Wang, Qike Yang, Xiaodan Hu. Calculation of Near-Surface Atmospheric Optical Turbulence Parameter Based on MAD Optical Flow[J]. Acta Optica Sinica, 2022, 42(24): 2401006
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