正则化方法通过增加先验信息约束,达到增强SAR图像特征的目的.在分析现有先验信息约束条件的基础上,提出SAR图像幅度域上的正则化增强方法,从理论上证明了SAR图像复数域上正则化方法和幅度域上正则化方法的等价性,进一步解释了正则化方法的相位保持特性,提高了计算效率.通过参数变换,结合先验信息,给出正则化参数的选取方法,该方法操作简单,能有效地抑制噪声,保护目标.最后利用仿真图像和MSTAR图像验证了该方法的有效性.

Regularization technique could enhance SAR(Synthetic Aperture Radar) image by imposing prior information. In this paper, firstly,the prior information in existence is analyzed, a feature-enhanced SAR image formation technique based on regularization in amplitude domain is proposed, it is proved that the results are equivalent in the complex data domain and in the amplitude domain, further the phase holding property is explained, and the efficiency of the algorithm is improved. Secondly,an easily realized technique to determine parameter is descriked,which can effectively suppress the noise and protect the object.Finally,the experimental results of the simultion and MSTAR(Moving and Stationary Target Acquisition and Recognition) images show that the algorithm is effective.