Abstract: Polarization ghost imaging system combines the strength and the polarization detection, expanded the obtained information form the ghost imaging system, can effective detection and identification target. The conventional correlation polarization ghost imaging systems requires a large amount of sampling data, and signal to noise of the restored results is low. Polarization ghost imaging system based on compressed sensing is proposed to get the intensity and polarization information of the object by the detected information form the point detector. In the simulation experiment, the same reflectivity but different polarization characteristics of objects are employed. The results show that the high quality of the object intensity and polarization information can be obtained with little 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 a variety of objects.

Key words: Ghost imaging, Compressed sensing, Polarization detection