Analysis of infrared polarization characteristics and modeling of operating distance on aerostat platform in sea fog
CSTR:
Author:
Affiliation:

1.ShanghaiTech University School of Information Science and Technology, Shanghai 201210, China;2.Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China;3.University of Chinese Academy of Sciences, Beijing 100049, China;4.Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China

Clc Number:

TP702

Fund Project:

Supported by Key Program of the Chinese Academy of Sciences(KGFZD-145-23-05-03)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    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 how polarization characteristics vary with observation angles, demonstrating the applicability of infrared polarization in oblique imaging from aerostats. Secondly, by using the Monte-Carlo method and 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.

    Reference
    Related
    Cited by
Get Citation

YE Min-Rui, CUI Wen-Nan, HUANG Xia-Yang, Zhang Tao. 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):454~463

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 04,2024
  • Revised:March 20,2025
  • Adopted:October 21,2024
  • Online: March 17,2025
  • Published:
Article QR Code