Multi-Aspect SAR Target Amplitude Scattering Reconstruction Based on Collaborative Filtering Algorithm

Multi-aspect SAR can obtain more backscatter information about the target by observing targets from different azimuths by means of radar. More and more attention has been paid to the analysis of typical target characteristics in SAR scenes. The target characteristics mainly include the anisotropy and isotropy characteristics of the target. In the process of multi-aspect analysis, SAR images from different angles are routinely used to analyze typical targets in the area. In this article, the SAR images of different angles are filled into the matrix for characteristic analysis. Secondly, the full-angle data is a 360-degree coherent image of the scene. For the established matrix, we randomly remove some data to reverse the target characteristics. Calculate the feature matrix under constraint conditions by combining the matrix with the collaborative filtering algorithm, and finally get the predicted value of the missing angle. C-band circular SAR data is used to validate our method.