Feature Extraction of Scattering Centers in High-resolution SAR Image

Synthetic Aperture Radar (SAR) targets detection and identification technology is one of the choke points for SAR practical application. Extraction of effective feature is the key of SAR targets detection and identification. The information of SAR target scattering center position and type is reflected by target attribute scattering center feature, so accurately extraction target attribute scattering center feature can improve the performance of SAR target detection and identification. A feature extraction method of SAR target attribute scattering centers based on the Improved Space-Wavenumber Distribution (ISWD) is proposed in this paper. The function of scattering center respected to frequency and aspect is computed using the ISWD, then the target attribute scattering centers model parameters are estimated via this function. The results of the computer simulation experiment show the validity of the method.