Journal of Infrared and Millimeter Waves, Volume. 44, Issue 3, 459(2025)

Analysis of infrared polarization characteristics and modeling of operating distance on aerostat platform in sea fog

Min-Rui YE1,2, Wen-Nan CUI2, Xia-Yang HUANG2, and Tao ZHANG1,2,3,4、*
Author Affiliations
  • 1School of Information Science and Technology ShanghaiTech University, Shanghai 201210, China
  • 2Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China
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    The study aims to reveal the detection advantages of infrared polarization imaging systems deployed on aerostat platforms in sea fog conditions. Firstly, based on the polarization bidirectional reflection distribution function, this research analyzes the rule of polarization characteristics varying with observation angles, demonstrating the applicability of infrared polarization in oblique imaging from aerostats. Secondly, by using the Monte-Carlo method and minimum resolvable temperature difference (MRTD) model, the study develops a model to determine the maximum operating distance of infrared polarization imaging systems. This model verifies the superiority of infrared polarization imaging over infrared intensity imaging in terms of maintaining features and detection distance under sea fog conditions. The results provide theoretical analysis and simulation evidence supporting the deployment of infrared polarization technology on aerostat platforms.

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    Min-Rui YE, Wen-Nan CUI, Xia-Yang HUANG, Tao ZHANG. Analysis of infrared polarization characteristics and modeling of operating distance on aerostat platform in sea fog[J]. Journal of Infrared and Millimeter Waves, 2025, 44(3): 459

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    Paper Information

    Category: Interdisciplinary Research on Infrared Science

    Received: Sep. 4, 2024

    Accepted: --

    Published Online: Jul. 9, 2025

    The Author Email: Tao ZHANG (haozzh@sina.com)

    DOI:10.11972/j.issn.1001-9014.2025.03.016

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