红外与激光工程, 2016, 45 (2): 0228005, 网络出版: 2016-04-05   

基于压缩感知的偏振光成像技术研究

Polarization imaging based on compressed sensing theory
作者单位
1 中国科学院西安光学精密机械研究所,陕西 西安 710119
2 中国科学院大学,北京 100049
3 中国人民解放军91550部队,辽宁 大连 116023
摘要
偏振成像技术是一种基于目标自身辐射或反射信号中所包含的偏振信息获取物体图像的方法,尤其在人工目标的探测和表面识别方面,相对光强度探测方式具有独特的优势。针对传统的偏振成像技术在复杂的成像环境中成像距离短和成像质量差的缺点,提出了一种基于压缩感知的新型偏振光成像技术。阐述了压缩感知理论的基本原理,构造了合适的采样矩阵和重构算法,设计了具体的成像系统,并通过压缩感知偏振成像实验证明了该成像技术的可行性。空气中实验结果表明,该成像系统能够重构出预先放置目标靶的偏振图像。此外在现有的实验条件基础上讨论并提出了几种改进系统成像质量的措施。
Abstract
Polarization imaging technology is a method that acquires the object images by collecting the polarization information of the target radiation or reflected signals. In particular, compared with the light intensity detection, it has unique advantages in the artificial target detection and surface recognition. Due to the short range and low quality of the conventional polarization imaging in complex imaging environment, a new kind of polarization imaging technology based on compressed sensing was proposed. The basic principle of compressed sensing theory was elaborated. By constructing reasonable sampling matrix and reconstruction algorithm, the specific imaging system was designed. Besides, the feasibility of this technology was confirmed through the imaging experiment. The study results in the air show the system can reconstruct the polarization images of the pre-positioned target. Additionally, in the existing experimental conditions, some measures are investigated and proposed to improve the system imaging performance.

王朋, 荣志斌, 何俊华, 吕沛. 基于压缩感知的偏振光成像技术研究[J]. 红外与激光工程, 2016, 45(2): 0228005. Wang Peng, Rong Zhibin, He Junhua, Lv Pei. Polarization imaging based on compressed sensing theory[J]. Infrared and Laser Engineering, 2016, 45(2): 0228005.

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