• 中国科技核心期刊
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Volume 31 Issue 4
Aug  2023
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Article Contents
HAN Pingli, FAN Yingying, YANG Bo, LIU Fei, SHAO Xiaopeng. Underwater Polarization Imaging Based on Mueller Matrix[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 624-632. doi: 10.11993/j.issn.2096-3920.2023-0080
Citation: HAN Pingli, FAN Yingying, YANG Bo, LIU Fei, SHAO Xiaopeng. Underwater Polarization Imaging Based on Mueller Matrix[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 624-632. doi: 10.11993/j.issn.2096-3920.2023-0080

Underwater Polarization Imaging Based on Mueller Matrix

doi: 10.11993/j.issn.2096-3920.2023-0080
  • Received Date: 2023-07-03
  • Rev Recd Date: 2023-07-20
  • Available Online: 2023-08-01
  • Underwater polarization imaging method uses the polarization characteristic difference between the target information light and the backscattered light to achieve clear imaging, which is of great value in the field of underwater target detection and recognition. However, due to the differences in the reflection and depolarization effects on the surface of objects made of diverse materials, the polarization characteristic difference cannot be effectively extracted. To address this issue, an underwater polarization imaging method based on Mueller matrix was proposed. The Mueller matrix was used to detect the light intensity information and the polarization information of the underwater target and the water, and the polarization information of the background scattered light and the target in the turbid water was accurately solved. Combined with traditional underwater imaging methods, an underwater polarization imaging method based on Mueller matrix was constructed to effectively separate the target information light from the background scattered light, improve the imaging quality, and clearly reconstruct underwater objects made of diverse materials.

     

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