An Approach of Feature Matching for Multi-Angle SAR Images of Man-Made Targets

Accumulation of target features from multi-angle observation data is of great significance for SAR Automatic Target Recognition. How to make correspondence matching with multi-angle data effectively for man-made targets? Due to the intensities and positions of the scattering centers varies with the aspect angle strongly, it is difficult to register SAR images using traditional matching methods. In this work, an approach for feature matching of man-made targets is proposed from complex SAR data. And it is based on the mechanisms of the dominate scattering to build up the relationship of the different multi-aspect images. Scattering map is employed to make scattering center extractions. Then the scattering centers are matching by using the physical model. Terra-SAR data of an aircraft test the validity of the approach.