Range-spread target detection using 2D non-local nonlinear shrinkage map

A novel 2D non-local nonlinear shrinkage map (NLNSM) on 2D range-pulse image is proposed in this paper and it is imbedded into the geometric average integration (GAI) scheme to yield a new range-spread target detector in white Gaussian noise. Because the denoising ability of the NLNSM is better than that of the 2D local nonlinear shrinkage map (NSM), the new detector attains better detection performance than the previous GAI detector, which is testified by measured target data.