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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。
The regularization method achieves the purpose of enhancing SAR image features by increasing the prior information constraints. Based on the analysis of the constraints of the existing prior information, the regularization enhancement method in the SAR image amplitude region is proposed. The equivalence of the regularization method and regularization method in the SAR image is proved theoretically. Further explains the phase preserving characteristics of the regularization method and improves the computational efficiency. Through parameter transformation and prior information, the regularization parameter selection method is given. The method is simple and can effectively suppress the noise and protect the target. Finally, the effectiveness of this method is verified by simulation images and MSTAR images.