摘要
提出了一种基于平稳小波变换的合成孔径雷达 (syntheticaperturradar,SAR)图像相干斑噪声抑制方法 ,即通过对SAR图像进行多层平稳小波变换 ,对平稳小波变换的细节图像信号进行阈值处理 ,以达到相干斑噪声抑制的目的 .实验结果表明 :此方法除了对相干斑噪声有很好的抑制作用外 ,还保留了尽可能多的目标特征和图像细节 ,有着较好的图像视觉效果 .
This paper presents a speckle reduction method for synthetic aperture radar(SAR) images based on stationary wavelet transform. SAR images be decomposed by stationary wavelet transform for several levels, the detail images toward 0 by threshold, the recovery SAR images is reconstructed. Experiment result shows that this method not only suppresses the speckle noise effectively, but also preserves as many target characteristics of original images as possible, the recovery SAR images's visual effect is satisfying . The stationary wavelet thresholding de noising has obvious superiority compare to that of orthogonal wavelet.
基金
973国家重点基础研究发展规划资助项目 (G19980 30 4 13)
