Design And Target Reconstruction Technology Of Defocusing Surface Polarization Imaging System

Traditional imaging detection technology focuses on the intensity information and spectral information of the target.Now,with the increasingly complex target background,other advanced imaging detection systems need to be developed to detect targets in complex backgrounds.Polarization imaging detection technology is an emerging detection technology.The polarization characteristics are unique properties like the wavelength,phase,amplitude,etc.of the light wave.It can provide more information for the target detection on the original basis,and the target polarization information is relative to the information such as intensity and temperature difference.Insensitive,it can improve the image quality without the intensity imaging effect,and because the polarized image can highlight the artificial target,provide more details and texture information.It has a wide range of applications in military and civilian fields.The paper focuses on two aspects.One is to design a focal plane polarization detection system based on measuring Stokes parameters,and the other is to algorithmically process and enhance the detected image.The purpose is to detect the target polarization information under a certain band.The use of polarization information imaging to achieve polarization imaging detection achieves the effect of reducing the complexity of the polarization imaging optical system.The reluctance of the polarized image is based on the improved fusion algorithm based on traditional wavelet transform and the fusion algorithm based on visual saliency.Firstly,the mechanism of imaging of the focal plane system is explored,and the system structure of Stokes parameters capable of measuring the target polarization degree is given.Design and optimize the system-related polarization element structure according to the relevant parameters of the system.The polarization degree image calculated by the measured Stokes parameters and the polarization angle image are clustered in the Bangka sphere to obtain the polarization feature image.Secondly,the multi-scale analysis method is applied,and the target layer is reconstructed at the algorithm layer,and the application is based on the traditional wavelet.Transforming and transforming the intensity image and the polarization feature image based on two different methods of visual saliency to obtain the final enhanced image,and evaluating the two methods,and giving correlation analysis.Prove that both methods can highlight the target information in the image.Because multi-scale analysis method is the most widely used method in image fusion,this paper deeply studies and analyzes the principles and implementation methods of traditional wavelet transform and non-subsampled Contourlet transform(NSCT)theory.The basic tool of image fusion algorithms.Combined with relevant experiments to verify the effectiveness of the fusion algorithm,to achieve the purpose of distinguishing the target from the background and improving the detection rate of the target.