Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1411001(2021)

Ocean Wave Spectrum Modeling-Based Sea Surface Polarization Simulation

Dezhi Su1, Shiyong Wu1, Liang Liu2、*, and Lingshun Liu1
Author Affiliations
  • 1College of Basic Sciences for Aviation, Naval Aviation University, Yantai, Shandong 264001, China
  • 2Coast Guard College, Naval Aviation University, Yantai, Shandong 264001, China
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    In this article, the PM, Jonswap, and Elfouhaily spectra were used to model the sea surface, and combining them with the measured data from Chinese stations, the radiances of seawater, sky, and atmosphere were calculated. The effects of wind speed and detection angle on the long-wave infrared polarization characteristics of the sea surface under different wave spectra were studied. Simulation results show that the long-wave infrared polarization characteristics of sea surface vary significantly during the day and night. When the detection angle of the PM spectrum is 80°, the average polarization degree of the sea surface reaches the maximum, while the corresponding detection angle for the Jonswap and Elfouhaily spectra is 70°. Under the same conditions, the incident angle distribution of the Jonswap and Elfouhaily spectra is relatively concentrated, and their average degree of polarization is higher than that of the PM spectrum. When the detection angle is 63°, the average degree of polarization of the sea surface modeled by the PM spectrum is unaffected by wind speed. The corresponding detection angle of the Jonswap and Elfouhaily spectra is 56°. When using different wave spectra to model the sea surface, the polarization characteristics of the simulated sea surface will be different. Therefore, the appropriate wave spectrum should be selected according to the characteristics of the sea surface scene to ensure the reliability of simulation results.

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    Dezhi Su, Shiyong Wu, Liang Liu, Lingshun Liu. Ocean Wave Spectrum Modeling-Based Sea Surface Polarization Simulation[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1411001

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    Paper Information

    Category: Imaging Systems

    Received: Nov. 5, 2020

    Accepted: Dec. 2, 2020

    Published Online: Jul. 6, 2021

    The Author Email: Liu Liang (liul513@126.com)

    DOI:10.3788/LOP202158.1411001

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