一種用各向異性擴(kuò)散方程抑制SAR相干斑噪聲的方法
An Anisotropic Diffusion Equation for SAR Speckle Reduction
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摘要: 本文提出了一種基于各向異性擴(kuò)散偏微分方程抑制合成孔徑雷達(dá)(SAR)圖像的相干斑噪聲的算法，簡稱DSADE算法。本算法根據(jù)SAR圖像的局部特征在均勻區(qū)域各向同性擴(kuò)散，邊緣細(xì)節(jié)區(qū)域各向異性擴(kuò)散，不僅可以很好地保持邊緣細(xì)節(jié)信息，而且可以對其進(jìn)行增強(qiáng)。實(shí)驗(yàn)結(jié)果表明，本算法不僅有效抑制了SAR圖像的相干斑噪聲，保持并增強(qiáng)了邊緣細(xì)節(jié)，而且有著良好的圖像視覺效果。
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關(guān)鍵詞:
- 合成孔徑雷達(dá);相干斑;各向異性; 擴(kuò)散方程
Abstract: In this paper, a new method named DSADE Despeckle with Anisotrpic Diffusion Equation which is based on anisotropic diffusion equation for SAR speckle reduction is proposed. With the local statistics values, DSADE provides anisotropic diffusion in the heterogenous area and isotropic diffusion in the homogeneous area. Thus, DSADE can not only preserve the edges and details, but also enhance them. In our experiment, DSADE is proved good performance in reducing speckle noise in SAR images and enhancing edges and details at the same time. Moreover, the filtered SAR images look good. -
Lopes A.[J].Nerzy E, Touzi R, aLaur H. ximum a posteriori filtering and first order texture models in SAR images. IGARSS90, Washington, D.C.：May 20-2.1990,:-[3]Xie Hua, Pierce L E, Ulaby F T. SAR speckle reduction using wavelet denoising and Markov Random field modeling[J].IEEE Trans. on Geoscience and Remote Sensing.2002, 40(10):2196-[4]Yu Yongjian, Acton Scott T. Speckle reduction anisotropic diffusion[J].IEEE Trans. on Image Processing.2002, 11(11):1260- -
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