【作者】 王晓强； 陈国忠； 刘兴钊；

【Author】 Xiaoqiang Wang Guozhong Chen Xingzhao Liu (Dept.of Electronic Engineering,Shanghai Jiao Tong University,Shanghai 200030)

【机构】 上海交通大学电子工程系；

【摘要】 基于小波变换的合成孔径雷达(SAR)图像斑噪声抑制算法,能很好的减小相干斑噪声对SAR图像的影响。但该算法在平滑噪声的同时,往往也会使图像的边缘变得模糊,降低了SAR图像的分辨率。比例边缘检测算法能较完整和准确的检测出SAR图像的边缘。我们试图提出一种改进算法,结合小波方法和比例边缘检测两种算法的优点。利用比例边缘检测提取出SAR图像的边缘图,用小波的方法对去边缘的图像进行去斑噪声处理,再把边缘图叠加到去噪后的图像上。试验证明这种算法能够在去除SAP斑噪声的同时,较好的保持SAR图像边缘。更多还原

【Abstract】 A speckle reduction algorithm for synthetic aperture radar based on the wavelet transform can reduce the speckle noise of SAR image very well.But when it smoothes the noise,it usually makes the edge of image to be obscure and cut down the SAR image’s resolution.Ratio edge detecting algorithm can detect the edge of SAR image completely and accurately.We proposed an improved algorithm combined the advantages of these two kinds of method.We can get the edge image by ratio edge detecting algorithm,and then denoise the non-edge image through the wavelet method.Finally add the edge image to it.The experimental results show that this algorithm can reduce the speckle and maintain the edge very well.更多还原