Research On Target Enhancement Based On Infrared Polarization Imaging

Infrared imaging technology is a powerful investigative technology in Modern battlefield.With the development of modern military camouflage technology, it is difficult to detect and recongnize the camouflaged infrared military targets using traditional infrared imaging. Usually, because there are differences in the object materials, surface roughness and electromagnetic wave of different incident angles, the polarization of electromagnetic wave will be changed when it reflect on the object surface. Polarization image reflects the influence of objects to the polarization of incident light. Polarization imaging acquires the information of the object on the basic of polarized electromagnetic scattering of the detected object. Because natural objects man-made objects and the influence of the radiation polarization characteristics are different, polarization imaging detection can make up for the deficiency of traditional infrared imaging and enhance the target contrast. In this paper, an infrared target enhancement method is put forward using polarization imaging as well as imge fusion. By the infrared polarization imaging, we can capture both the infrared images and the DoLP (Degree of Linear Polarization) images,then we fuse them to enhance the polarization characteristics of target.-Infrared polarization characteristics of different objects are derived theoretically in this paper. More over, the methods of obtaining and preprocessing multi-source polarization images are introduced. An infrared image fusion method using non-sampling Shearlets transform (NSST) and regional saliency analysis is proposed. IR polarimetric imaging system is built to give out both objective and subjective evalueations of the fusion results. The advantages of NSST with the fusion rule of regional feature match are discribled. In addition, the effectiveness of noise suppression and information enhancement using the image fusion method based on NSST with regional saliency analysis are elaborated. Finally, additional experiments are done to carry out pseudo-color fusion in YUV color space considering the human visual system.