基于自适应收缩因子的SAR图像去噪

针对合成孔径雷达 (SAR)图像固有的斑点噪声 ,提出了基于自适应收缩因子的去噪方法 .该方法首先将图像分解至平稳小波域 ,利用与信号相关小波系数的空间及尺度相关性 ,自适应地得到收缩因子 ,修正小波系数 .与基于Mallat分解的阈值去噪及Wiener滤波相比 ,该方法在有效抑制SAR图像噪声的同时 ,较好地保持了图像边缘细节 ,达到了理想的去噪效果

SAR image denoising based on adaptive shrinkage factor

An efficient method based on adaptive shrinkage facto r to suppress the speckle noise in synthetic aperture radar (SAR) images, is pre sented. It combines wavelet coring and the joint use of scale and space consiste ncy. A shrinkage factor is assembled at each scale to modify the wavelet coeffic ient. Compared with the denoising methods based on Mallat decomposition and Wien er filter, the proposed technique produces a filter version of the original imag e with well preserved image details.