In this paper, a general iterative thresholding algorithm (ITA) for solving L q -norm $(0\lt q\leq\ 1)$ regularization problem is proposed to achieve the synthetic aperture radar (SAR) image feature enhancement. Compared with the reconstructed images by matched filtering (MF) based method, the proposed method recovered images have lower sidelobes, reduced noise and clutter, which improves the image quality effectively. Experiments based on Gaofen-3 (GF-3) SAR complex image data are used to validate the proposed method.