期刊文献+

利用各向异性扩散去除SAR图像中的斑点噪声 被引量:1

Speckle Noise Filtering on SAR Images with Anisotropic Diffusion
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摘要 合成孔径雷达(SAR)图像受到相干斑点噪声的干涉,严重影响合成孔径雷达图像的质量。我们利用各向异性扩散方程抑制合成孔径雷达(SAR)图像中的斑点噪声,只要选择合适的扩散方向和速度,就能较好地保留图像的边缘和细节信息。最后对合成孔径雷达图像进行去噪实验,并与小波去噪滤波方法进行比较,各向异性扩散方程具有更好的抑制噪声的效果。 Synthetic Aperture Radar (SAR) images are usually corrupted by speckle noise. A method that uses the anisotropic diffusion to suppress the speckle noise in Synthetic Aperture Radar images is pres- ented. The diffuse coefficients are selected so that the edge information and local detail in images can be well preserved. And this method is compared with the wavelets filter. The numerical results of the appli- cation to SAR images demonstrate the good performance of anisotropic diffusion filtering.
出处 《江苏工业学院学报》 2004年第1期53-55,共3页 Journal of Jiangsu Polytechnic University
关键词 SAR图像 斑点 噪声 非线性扩散 合成孔径雷达 分辨率 SAR image speckle noise anisotropic diffusion
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  • 1Goodman J W. Some fundamental properties of speckle [J].Jour. of Optical Society of America, 1976,66(11):1105-1150.
  • 2Lee J S, Jurkevich I. Speckle filtering of synthetic aperture radar images: A review[J]. Remote Sensing Reviews, 1994,8(3):313-340.
  • 3Lee J S. Digital image smoothing and the sigma filter [J].Computer Vision, Graphics and Image Processing, 1983, 24:255-269.
  • 4Kuan DT, Sawchuk, Strand A A, Chavel T C, Adaptive noise smoothing filter for images with signal-dependent noise [J].IEEE Trans. on Pattern Analysis and Machine Intelligence,1985,7(2) :165-177.
  • 5Lopes A, Nezry E, Laur H. Structure detection and statistical,adaptive speckle filtering in sar images [J]. Int. J. Remote Sensing, 1993,14(9):1735-1758.
  • 6Donoho D L. De-noising by soft-thresholding [J]. IEEE Transactions on Information Theory, 1995,41(3):613-627.
  • 7Fukuda Seisuke, Hirosawa Haruto, Suppression of speckle in synthetic aperture radar[J]. International Journal of Remote Sensing, 1998,19(3) :507-518.
  • 8Arsenault H H, April G. Properties of speckle integrated with a finite aperture and logarithmically trans-formed[J]. Journal of the Optical Society of America, 1976,66:1160-1163.

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同被引文献11

  • 1郭小卫,田铮.基于小波域边缘方向特征的SAR图象噪声抑制方法[J].中国图象图形学报(A辑),2003,8(4):453-458. 被引量:11
  • 2Perona P, Malik J. Scale-space and edge detection using anisotropie diffusion [J]. IEEE Trans on PAMI, 1990, 12 (7) : 629-639.
  • 3Catte F, Lions P L, Morel J M, et al. Image selective smoothing and edge detection by nonlinear diffusion [J]. SIAM J NumAnal, 1992, 29 (1): 182-193.
  • 4Alvarez L, Lions P L, Morel J M. Image selective smoothing and edge detection by nonlinear diffusion: Ⅱ[J]. SIAM Journal on Numerical Analysis, 1992, 29 (:3): 845-866.
  • 5Martin Burger, Frank Hauβer, Christina Stocker, et al. A level set approach to anisotropic flows with curvature regularization [ J]. Journal of Computational Physics, 2007, 225 (1):183-205.
  • 6Sarti C Ortiz de Solorzano, Lockett S, Malladi R. A geometric model for 3D eonfoeal image analysis [J]. IEEE Trans on Biomedical Engineering, 2000, 47 (12): 1 600-1 609.
  • 7Malladi R, Sethian J A. A unified approach to noise removal, image enhancement and shape recovery [J]. IEEE Trans on Image Processing, 1996, 5 (11): 1554-1568.
  • 8Malladi R, Sethian J A, Vemuri B C. Shape modeling with front propagation: a level set approach [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1995, 17 (2): 158-175.
  • 9Osher S, Sethian J A. Fronts propagation with curvature dependent speed: Algorithm based on Hamilton-Jacobi formulation [J]. Journal of Computational Physics, 1988, 79 (1): 12-49.
  • 10Caselles V, Kimmel R, Sapiro G. Geodesic active contours[J]. International Journal of Computer Vision, 1997, 22 (1): 61-79.

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