罗海波, 张俊超, 盖兴琴, 刘燕. 偏振成像技术的发展现状与展望(特邀)[J]. 红外与激光工程, 2022, 51(1): 20210987. DOI: 10.3788/IRLA20210987
引用本文: 罗海波, 张俊超, 盖兴琴, 刘燕. 偏振成像技术的发展现状与展望(特邀)[J]. 红外与激光工程, 2022, 51(1): 20210987. DOI: 10.3788/IRLA20210987
Luo Haibo, Zhang Junchao, Gai Xingqin, Liu Yan. Development status and prospects of polarization imaging technology (Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210987. DOI: 10.3788/IRLA20210987
Citation: Luo Haibo, Zhang Junchao, Gai Xingqin, Liu Yan. Development status and prospects of polarization imaging technology (Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210987. DOI: 10.3788/IRLA20210987

偏振成像技术的发展现状与展望(特邀)

Development status and prospects of polarization imaging technology (Invited)

  • 摘要: 偏振成像是一种新的光电探测体制,它可以获得比传统成像多一维的场景信息,在工业检测、生物医学、地球遥感、现代军事、航空以及海洋等领域具有重要的应用价值。论文对偏振成像的典型应用、发展历程和发展现状进行了分析和总结,总结了偏振成像的实现方法,当前学术界在场景的偏振特性、偏振的传输特性、偏振成像探测器、分焦平面偏振图像非均匀性校正、分焦平面偏振图像超分辨率重建以及偏振图像融合等领域的最新研究成果。在此基础上,对偏振成像的未来发展方向进行了展望,包括高消光比焦平面偏振探测器、分焦平面多光谱偏振探测器、高精度非均匀性校正方法、偏振图超分辨率重建方法以及强度图和偏振度/偏振角图融合方法等。

     

    Abstract: Polarization imaging is a new way for photoelectric detection, which provides more one-dimensional information than conventional imaging systems. It has important application in the fields of industrial detection, biomedicine, earth remote sensing, modern military, aerospace and ocean. The typical applications, development history and status of polarization imaging were firstly analyzed and summarized. Then, the current methods of polarization imaging were reviewed. The latest research of polarization characteristics, transmission property, polarization imaging sensors, nonuniformity correction for division-of-focal-plane polarimeters, super resolution restoration for polarization image, and polarization information fusion approaches were introduced. Moreover, the future development direction of polarization imaging was prospected, which including focal plane polarization detector with high extinction ratio, division-of-focal-plane multispectral polarization detector, non-uniformity correction method with high precision, polarization image super resolution restoration method, and polarization information fusion(intensity image, degree of polarization and angle of polarization) so on.

     

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