偏振鬼成像系统结合了强度和偏振探测,扩展了鬼成像系统的信息量,可 以进行有效的目标识别和探测。 常规相关偏振鬼成像系统需要大量采样数,且复原结果信噪比低。为此提出基于缩感知的偏振鬼 成像系统,利用系统获取物体的强度和偏振参数,采用压缩感知算法来反演获取物体的强度和 偏振信息。利用仿真实验,采用具有相同反射率但不同偏振特性的物体进行研究,结果表明采 用压缩感知算法可以在很少的采样数下获取高质量的物体强度和偏振信息,提高了系统的实时 性,并与相关算法进行了对比。最后采用图像融合算法对强度和偏振信息进行了融合, 通过融合信息可以有效地进行多种物体的识别。

Polarization ghost imaging system combines the strength and polarization detection, and expands the obtained information from the ghost imaging system. It can carry out effective target detection and identification. The conventional correlation polarization ghost imaging system requires a large amount of sampling data, and signal-to-noise ratio of the restored result is low. Polarization ghost imaging system based on compressed sensing was proposed to obtain the intensity and polarization information of the object using the detected information from the point detector. In the simulation experiment, the same reflectivity but different polarization characteristics of objects were employed. The results show that the high quality of the object intensity and polarization information can be obtained with fewer sample number compared with the correlation method, and it can improve the real-time performance. Finally, using image fusion algorithm to merge the intensity and polarization information, recognition by fusing information can be effectively carried out for a variety of objects.