Target Feature-Enhanced of SAR Image Based on Regularization of l_k Norm

摘要

Target feature-enhanced processing of SAR image is meaningful to SAR ATR. One regularization method based on l_k norm used for target feature-enhanced of SAR image is discussed in this paper. This method exploits the useful sparse prior information which is well consistent to the statistically property of SAR image, makes up the additional constraint condition, turns the problem of target feature-enhanced processing of SAR image into the simple-formed optimization problem. A fast iterative algorithm is proposed to solve the optimization problem. The Simulation results and computational results of measured data prove its validity.