A New Method of the Shadow and Target Detection of Synthetic Aperture Radar Images
一种合成孔径雷达图像阴影和目标检测的方法

A new solution of the shadow and target detection for high-resolution SAR (synthetic aperture radar) images is presented in this paper. At first, shadow detection through the RCS (radar cross section) reconstruction algorithm based on the model of equivalent number of looks is described, and then by nonlinear iterated process, the target detection is achieved. Compared with the CFAR (constant false alarm rate) detector, this algorithm can detect the shadow and more targets of interest.