基于Curvelet变换抑制SAR图像斑点噪声的方法  

Denoising Method of SAR Image Based on Curvelet Transform

作　　者：肖磊[1] 隆刚[1] 陈学佺[1] 

机构地区：[1]中国科学技术大学电子工程与信息科学系,合肥230026

出　　处：《计算机工程》2006年第9期196-198,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60372059)

摘　　要：提出了一种基于Curvelet变换来抑制合成孔径雷达(SAR)图像中噪声的方法,Curvelet是一种新的多尺度变换理论,具有各向异性的特征,克服了小波在处理大于一维的高维信号时的不足。该文在介绍Curvelet变换理论及其实现的基础上,引出了SAR图像斑点噪声的去除方法,并改进了Curvelet算法,降低了其运算复杂度,讨论了SAR图像噪声方差的估计,最后和其它的SAR图像去噪方法作了对比和分析。A denoising method of SAR image based on Curvelet transform is proposed in this article. Curvelet is a new multiscale transform theory. Curvelet overcomes the limitation of wavelet in analyzing signals with dimension higher than 1 ＋D because it has the character of anisotropy. This article introduces Curvelet theory first and then derivates speckle reducing method of SAR image. It improves the algorithm of Curvelet to reduce its complexity. Comparison is also made with other filtering methods.

关 键 词：CURVELET变换 RIDGELET变换 小波 斑点噪声 去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]