| Polarization information,as an inherent property of the object,can reflect more characteristics of the object,so the processing of the polarization information is an important research direction of the passive millimeter wave imaging technology field at present.In this paper,the polarimetric passive millimeter wave image fusion method is studied based on the polarization characteristics of the targets.First,the paper introduces the concept of polarization and the system structure of polarimetric millimeter wave radiometer.The polarization characteristics of millimeter wave radiation energy are discussed.And the temperature model of polarimetric millimeter wave radiation is studied.Then,by analyzing the multi-scale transformation and saliency model,the polarimetric passive millimeter wave image saliency fusion algorithm based on NSCT is studied for the polarization characteristics of the targets in the passive millimeter wave image and experimentally verified.Experimental results show that the proposed algorithm can effectively integrate polarimetric passive millimeter wave images while preserving the polarization characteristics of the targets.Finally,Combining the characteristics and shortcomings of the sparse representation and multi-scale transformation,the polarimetric passive millimeter wave image fusion algorithm based on the sparse representation and multi-scale transform is studied.The sparse representation compensates for the low-frequency image fusion,while the multi-scale transformation enhances the image detail.Fusion,and by comparison experiments to verify.The experimental results show that this method can enrich the information of polarimetric passive millimeter wave images. |
