Polarization Imaging Detection Method Based On Dynamic Vision Sensor

Optical remote sensing is widely used in relief and military affairs. However, its detection ability is limited by the contrast between target and background. Polarization imaging detection is different from traditional intensity detection methods. It can effectively detect and identify polarization pattern obvious targets with low contrast, but it has some shortcomings such as large system volume, complex system design and low light efficiency. Therefore, a polarization detection method based on dynamic vision sensor (DVS) is proposed in the paper. The feasibility of the method is studied and analyzed here. A simple experimental system based on DVS and rotating polarizer is built. Moreover, both indoor and outdoor experiments are carried out separately. The results show that our method can effectively detect the targets with different degrees of polarization (Dop) in the scene, and has the advantages of high sensitivity, intuitive detection and small physical size. It holds the potential applications in the field of remote sensing based man-made targets detection.