基于ICA-SCS算法的极化SAR图像相干斑抑制

Speckle Reduction of Polarimetric SAR Image Based on ICA-SCS Algorithm

该文提出了采用基于独立分量分析的稀疏编码收缩(ICA-SCS)算法进行极化SAR图像相干斑抑制的新方法,结合软门限算子,有效抑制了图像中的相干斑噪声,保留了极化信息。实验结果表明,该算法具有较好的边缘保持和噪声抑制能力。

In this paper, a novel method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR image, this method reduces speckle effectively and preserves polarimetric properties. The experiment shows that the image edges are retained with the method and the speckle is removed effectively.