一种自适应各向异性的SAR图像去噪算法

An Adaptive Anisotropic Algorithm on SAR Image Denoising

为了在抑制噪声时尽可能保留图像边缘信息,提出一种自适应各向异性SAR图像去噪算法。该方法设计一组具有不同尺度和方向的滤波器模板,针对不同图像边缘的局部特征计算出滤波器的尺度和方向,选择最优匹配的各向异性滤波器,从而可以在抑制噪声的同时很好地保留边缘。仿真实验表明,提出的自适应各向异性SAR图像去噪算法具有很强的噪声抑制和边缘保持能力,并且具有较高的实效性。

In order to preserve the information of the edge when the speckle in the SAR image is reducted,an adaptive anisotropic algorithm on SAR image denoising is proposed.This algorithm designs a group of filter templates at different scale and direction.To different image edge local character,it figures out the scale and direction of filter,and chooses the best matching anisotropic filter,so that it can preserve the information of the image edge on denoising.The simulation test indicates that the algorithm is not only able to preserve the image edge,but alse real time.