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非线性扩散方程在SAR图像噪声抑制中的应用 被引量:2

Application of Nonlinear Diffusion Equation in SAR Image Denoising
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摘要 将光学图像加性噪声抑制的非线性扩散方程引入到SAR图像相干斑抑制中,通过分析SAR图像的相干斑噪声模型在功率图像域以及功率图像的对数域上的表现特性,说明了基于加性噪声模型的非线性扩散方程在SAR图像噪声抑制中的应用可能性,并由此设计了基于非线性扩散方程的SAR图像噪声抑制算法。计算结果表明,与现有的SAR噪声抑制方法相比,非线性扩散方程方法具有更强的对背景区域的噪声抑制能力,且能更好地保持目标特征。 This paper takes advantge of the anisotropic diffusion for additive noise reducing to reduce the speckle in SAR image. It analyses the distribution of speckle model of SAR image and its Log image, and the result shows that using the anisotropic diffusion for additive noise reducing to reduce the speckle is feasible. Then it gives an algorithm for speckle reducing based on anisotropic diffusion. Numerical results show that the new model has better denoising result than some known methods, and can heep target feature better.
出处 《现代雷达》 CSCD 北大核心 2005年第9期48-51,71,共5页 Modern Radar
基金 国家自然科学基金资助项目(No.60272013) 全国优秀博士论文作者专项基金资助项目(No.200140)
关键词 合成孔径雷达 相干斑 各向异性扩散 synthetic aperture radar speckle anisotropic diffusion
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参考文献13

  • 1Lee S J. Digital image enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980.
  • 2Lee S J. Refined filtering of image noise using local statistics.Computer Graphic and Image Processing, 1981. 380-389.
  • 3Kuan T D. Adaptive restoration of images with speckle. IEEE Trans ASSP, 1987,35(3) :373 -383.
  • 4Lopes A, Nezry E, Touzi R, et al. Structure detection and statiscal adaptive speckle filtering in SAR images. Int J Remote Sensing, 1993,14:1 735 - 1 738.
  • 5Lopes A, Touzi R, Nezry E. Adaptive speckle filters and scene hoterogeneity. IEEE Transactions on Geoscience and Remoted Sensing, 1990,28(6) :992 - 1 000.
  • 6Frost S V. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans Pattern Analysis and Machine Intelligence, 1982,4(2) :157 -166.
  • 7Yu Yongjian, Scot T A. Speckle reduction anisotropic diffusion. IEEE Trans Image processing, 2002,11 ( 11 ): 1 260 - 1270.
  • 8Weickert J. A review of nonlinear diffusion filtering in scalespace theory in computer vision. lecture notes in computer science 1 252, Berlin :Springer, 1997:3-28.
  • 9Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Machine Intell, 1990,12(7) :629 -639.
  • 10高鑫,刘来福,黄海洋.基于PDE和几何曲率流驱动扩散的图像分析与处理[J].数学进展,2003,32(3):285-294. 被引量:20

二级参考文献47

  • 1朱述龙 张占睦.遥感图像获取与分析[M].北京:科学出版社,2000,4..
  • 2谢寿生 徐永进.微波遥感技术与应用[M].北京:电子工业出版社,1990..
  • 3You L.Kaveh M.Blind image restoration by anisotropic regularization[J]. IEEE Trans. Image Processing, 1999, 8(3): 396-407.
  • 4Malladi R, Sethian J A. Image processing, flows under min/max curvature and mean curvature [J].Graphical Models and Image Processing, 1996, 58(2): 127-141.
  • 5Malladi R, Sethian J, Vemuri B C. A fast level set based lgorithm for topology-independent shape modeling [J]. J. Mathematical Imaging and Vision, 1996, 6: 269-289.
  • 6Malladi R, Sethian J A, Vemuri B C. Shape modeling with front propagation [J]. IEEE Trans. PAMI,1995, 17(2): 158-175.
  • 7Marr D, Hildreth E. Theory of edge detection [C]. Proc. Roy. Soc. London Ser. B, 1980: 187-217.
  • 8Mumford D, Shah J. Optimal approximations by piecewise smooth functions and associated variation problems [J]. Comm. Pure Appl. Math., 1989, 17: 577-585.
  • 9Nitzberg M, Shiota T. Nonlinear image filtering with edge and corner enhancement [J]. IEEE Trans.on PAMI, 1992, 14(8): 826-833.
  • 10Osher S, Rudln L I. Feature-oriented image enhancement using shock filters [J]. SIAM J. Numerical Analysis, 1990, 27(4): 919-940.

共引文献27

同被引文献17

  • 1韦海军,谢华英,朱炬波.各向异性扩散相干斑抑制改进算法[J].系统工程与电子技术,2005,27(4):619-622. 被引量:2
  • 2[1]S J Lee.Digital image enhancement and noise filtering by use of local statistics.IEEE Trans on Pattern Analysis and Machine Intelligence,1980,2(2):165-168
  • 3[2]V S Frost,J A Stiles,K S Shanmugan,et al.A model for radar images and its application to adaptive digital filtering of multiplicative noise.IEEE Trans on Pattern Analysis and Machine Intelligence,1982,4(2):157-166
  • 4[3]S J Lee.Refined filtering of image noise using local statistics.Computer Graphic and Image Processing,1981,17(7):1735-1758
  • 5[4]Yu Yongjian,T Acton Scott.Speckle reduction anisotropic diffusion.IEEE Trans on Image Processing,2002,11(11):1260-1270
  • 6[7]T Kohonen.Self organized formation of topologically correct feature maps.Biological Cybernetics,1982,43(1):59-69
  • 7Takagi A, Hibi K, Zhang X, et al. Automated contour detection for high-frequency intravascular ultrasound imaging: a technique with blood noise reduction for edge enhancement. Ultrasound Med Biol, 2000; 26(4) : 1033
  • 8Hu JM and Hu. XH, Application of median filter to speckle suppression in intravascular ultrasound Images. Intelligent Information Systems, 1994. Proceedings of the 1994 Second Australian and New Zealand Conference on 29 Nov-2 Dee. 1994:302-306
  • 9Li W, Steen A, Lancee CT, et al. Temporal correlation of blood scattering signals in vivo from radiofrequeney intravascular ultrasound. Ultrasound Med Biol, 1996; 22(5):583
  • 10Aage Gronningsaeter, A. J. Angelsen, Audun Gresli, Hans G. Torp and David T. Linker. Blood noise reduction in intravaseular ultrasound imaging. IEEE Transactions on ultrasonics. Ferroelectrics, and Frequency Control, 1995 ;42 (2) : 200

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