一种新的SAR图像的相干斑滤波方法
A new method for speckle filtering of SAR images
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摘要: 该文分析了合成孔径雷达(SAR)图像中的相干斑(Speckle)的统计特性,基于小波变换(WT),提出了一种新的相干斑滤波方法,该方法将小波变换后的HH分量采用Lee滤波,对HG,GH和GG分量则利用恒虚警技术(CFAR),保留重要的目标和边缘,再将这四个分量进行重构。实验结果表明,该方法具有相当良好的相干斑抑制性能,等效视数得以大幅度提高,并且能很好地保持原图像的边沿特征,其性能明显优于通常采用的Lee算法。Abstract: This paper analyzes the statistics of speckle in SAR. And based on wavelet transform, this paper puts forwards a new method for speckle suppression. After wavelet transform, Lee filter is adopted for HH part and CFAR (Constant False Alarm Ratio) is used for HG, GH, HH. This method not only improves the ENL of images, but also keeps the important targets and edge. Compared with Lee algorithm that was generally used in SAR speckle filtering, this new method has the great advantage in speckle suppression and edge keeping. The experimental results prove the effectiveness of the method.
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M.Alberto,hnproved multilook techniques alpplied to SAR and SCANSAR imnages,IEEE Trans.on GRS.,1991,GRS-23(4),529-534.[2]J.S.Lee,A simple smoothing algorithm for synthetic aperture radar images,IEEE Trans.on Syst Man Cybern,1983,SMC-13(1),85-89.[3]J.S.Lee,Speckle suppression and analysis for synthetic alperture radar images,Opt Eng.,1986.25(5).636-643.[4]Yang Jinhao et al.,Speckle filtering for SAR images based on orthonormal wavelet transform.EUSAR,Germany,1996,151-154.[5]V.Zaitsev,Analysis of the speckle suppression algorithms based on the MAP aplproach,EUSAIR.Germany,1996,159-162.[6]S.Foucher et al.,Unsupervised multiscale speckle filtering,IEEE lint.Conference on Imagre Processing,1996,391-394.[7]李建平,小波分析与信号处理,重庆,重庆出版社,1997,282-300.
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