Parameter estimation of attributed scattering centers in SAR images based on wolf pack algorithm

For the attributed scattering center estimation problem of synthetic aperture radar (SAR) images, a new idea based on wolf pack algorithm was proposed. The method first decoupled the SAR image using the “divide and conquer” strategy. Afterwards, the wolf pack algorithm was adopted as the basic optimization method to sequentially estimate individual scattering centers with the optimal parameter sets. By analyzing the characteristics of cooperative hunting activities and prey distribution, the wolf pack algorithm has good global search ability and local development ability. The algorithm combines the traditional image decoupling with the robust estimation capability of wolf pack algorithm. Hence, the estimation precision of the overall SAR image can be improved. In the experiments, the proposed method was tested on the original SAR images and noisy samples based on the MSTAR dataset. The results validate the effectiveness and noise-robustness of the proposed method.