摘要
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 。
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.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2003年第3期102-104,124,共4页
Engineering Journal of Wuhan University
关键词
SAR图像
平稳小波变换
去噪
自适应收缩因子
synthetic aperture radar(SAR) image
stationary wave let transform
denoising
adaptive shrinkage factor
