For the noise suppression and target's feature-extraction of the synthetic aperture radar (SAR) imagery in complex domain

a regularization method based on

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norm is presented in SAR complex imagery domain in terms of the sparse prior of SAR imagery.The design of the algorithm and the research on its convergence assure the feasibility and robustness of this method.The coupling between the regularization method and ridge estimate afford a new idea of the choice of the regularization parameters.Numerical results demonstrate that our method can efficiently depress noise and extract the target's feature of SAR image.