基于小波变换的SAR图像相干斑噪声消除方法研究

本文提出了一种基于小波变换的合成孔径雷达(SAR)图像相干斑消除滤波器.这种滤波器通过在小波细节子图像中减少小波分解系数的幅度来抑制相干斑噪声,同时利用小波细节子图像中提供的边缘信息来检测边缘和纹理细节,并保留其对应的小波分解系数值.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性和图像细节,有着良好的图像视觉解译效果.

The Study on Coherent Speckle Reduction in SAR Image Using Wavelet

A filter for reducing speckle in synthetic aperture radar(SAR) image utilizing wavelet is proposed. The filter suppresses speckle by reducing the amplitude of the detail images in wavelet subspaces, while preserving edges by releasing the amplitode around edges; information on edges, contained in the detail images, is utilized for edge detection. The application to SAR images have shown that the performance of the filter is satisfactory in both smoothing and edge preservation, and in generating visually natural images as well.