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基于迹的PDE在极化SAR图像相干斑抑制中的应用 被引量:4

Trace-Based PDE Speckle Filtering Algorithm for Polarimetric SAR Images
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摘要 作为各向异性滤波器,基于迹的偏微分方程(PDE)滤波算法相对于基于散度的PDE滤波算法在相干斑抑制效果和细节保持方面都表现出了优良的性能。利用基于迹的PDE,结合极化SAR数据的自身特性,设计了基于迹的PDE极化SAR相干斑抑制方案。算法针对极化SAR数据的协方差矩阵进行操作,在保留极化信息的基础上进行滤波处理。分别选用EMISAR机载数据和RADARSAT-2星载数据进行实验,并与RefinedLee去噪算法进行对比,验证了算法的可行性。 Trace-based PDE(Partial Differential Equations) filtering algorithm,as an anisotropic filter,is of excellent performance both in speckle reduction and preserving details comparing with divergence-based PDE filtering algorithm.Using trace-based PDE and combining its own characteristics of polarimetric SAR data,a scheme on speckle reduction with trace-based PDE for polarimetric SAR images was designed.The covariance matrix of polarimetric SAR data is performed by the algorithm,while preserving the polarimetric information,the filtering process is taken.EMISAR data and RADARSAT-2 data were used for experimentation,and the feasibility of the algorithm were proved by the experimental results comparing with Refined Lee algorithm.
出处 《测绘科学技术学报》 北大核心 2012年第5期352-356,共5页 Journal of Geomatics Science and Technology
基金 国家自然科学基金项目(41071296)
关键词 极化SAR 各向异性 偏微分方程 相干斑 polarimetric SAR anisotropic trace PDE speckle
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参考文献10

  • 1PERONA P, MALIK J. Scale-space and Edge Detection U- sing Anisotropic Diffusion[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence,1990,12(7):629-639.
  • 2林青,秦志远.图像处理中的PDE及其数值解算方法[J].测绘科学技术学报,2011,28(5):360-364. 被引量:7
  • 3DI ZENZO S. A Note on the Gradient of A Multi-image[J] Computer Vision,Graphics and Image Processing, 1986,33 116-125.
  • 4TSCHUMPERLE D, ERCHE D. ector-valued Image Regularization with PDE:s: A Common Framework for Different Applications[J]. IEEE Transaction on PAMI, 2005,27 (4) 506-517.
  • 5BROX T, WEICHERT J, BURGETH B, et al. Nonlinear Structure Tensors[J]. Image and Vision Computing, 2006, 24(1) :41-55.
  • 6CHARBONNIER P, BLANC-FERAUD L, AUBERT G,et al. Deterministic Edge:preserving Regularization in Compu- ted Imaging[J] IEEE Transaction on Image Processsing, 1997,6(2) :298-311.
  • 7YU Y, ACTON S T. Speckle Reducing Anisotropic Diffu sion[J]. IEEE Transaction on Image Proeesssing, 2002,27 (4) -. 1260-1270.
  • 8TSCHUMPERLE D. PDE's Based Regularization of Multi- valued Images and Applications[ D]. Antipolis: University de Nice-Sophia Antipolis, 2002 : 20-40.
  • 9FOUCHER S, FARAGE G, GOZE BENIE B. Speckle Fil- tering of PolSAR and PoIlnSAR Images Using Traced-based Partial Differential Equations[C]//IEEE International Geo- science and Remote Sensing Symposium. Denver, Colorado, USA, 2006 : 2545-2548.
  • 10TAUBER C, BATATIA H, AYACHE A. A Robust Speckle Reducing Anisotropic Diffusion[C]. International Conference on Image Processing, Singapore, 2004 (1) : 247 250.

二级参考文献9

  • 1付树军,阮秋琦,王文洽.偏微分方程(PDEs)模型在图像处理中的若干应用[J].计算机工程与应用,2005,41(2):33-35. 被引量:14
  • 2赵凤群,智佳,戴芳,李晓伟.Perona-Malik模型离散格式的改进[J].西安工业大学学报,2007,27(1):83-87. 被引量:2
  • 3JAIN A K, FARROKHNIA F. Unsupervised Texture Segmentation Using Gabor Filter [J]. Pattern Recognition, 1991,24(12) :1167-1186.
  • 4KOENDERINK J J. The structure of image[M]. Biological Cybernetics Berlin: Springer-Verlag, 1984,50 (5) : 363-370.
  • 5PERONA P, MALIK J. Scale-space and Edge Detection Using Anisotropie Diffusion[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1990,12(7) : 629-639.
  • 6WEICKERT J. Coherence enhancing Diffusion Filtering [J]. International Journal on Computer Vision, 1999, 3 (2) :111-127.
  • 7KASS M,WITKIN A, TERZOPOUIUS D. Snakes: Active Contour Models[J]. International Journal on Computer Vision, 1987,1 (4) :321-331.
  • 8BLEECKER DAVID, CSORDAS GEORGE. Basic Partial Differential Equations[M]. New York Van Nostrand Rostrand Reinhold, C Springer, 1992 : 599-602.
  • 9GILBOA G, SOCHEN N A, ZEEVI Y Y. Regularized Shock Filters and Complex Diffusion[C]//Proceedings of the 7th European Conference on Computer Vision. LNCS 2350, London, UK : Springer-Verlag, 2002 : 313-399.

共引文献6

同被引文献40

  • 1吴斌,吴亚东,张红英.基于变分偏微分方程的图像复原技术[M].北京:北京大学出版社,2008.
  • 2何钰,徐青,邢帅.基于偏微分方程的去噪方法[J].测绘科学技术学报,2007,24(4):284-286. 被引量:5
  • 3GONZALEZ R C,WOODS R E.数字图像处理[M].2版.阮秋琦,阮宇智,译.北京:电子工业出版社,2005:545-548.
  • 4王超,张红,陈曦.全极化合成孔径雷达图像处理[M].北京:北京科学出版社,2007:66-68.
  • 5PERONA P,MALIK J.Scale-space and Edge Detection Using Anisotropie Diffusion[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,1990,12(7):629-639.
  • 6RUDIN L,OSHER S,FATEMI E.Nonlinear Total Variation Based Noise Removal Algorithms[J].Physica D,1992,60:259-268.
  • 7ZHOU W,CONRAD B.Image Quality Assessment:From Error Visibility to Structural Similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.
  • 8NOVAK L M,BURL M C.Optimal Speckle Reduction in Polarimetric SAR Imagery[J] .IEEE Transactions on Aerospace and Electronic Systems,1990,26(2):293-305.
  • 9LEE J S.Polarimetric SAR Speckle Filtering and Its Implication for Classification[J] .IEEE Transaction on Geoscience and Remote Sensing,1999,38(5):1038-1040.
  • 10GU JING,YANG JIAN,ZHANG HAO,et al.Speckle Filtering in Polarimetric SAR Data Based on the Subspace Decomposition[J] .IEEE Transaction on Geoscience and Remote Sensing,2004,42(8):1635-1641.

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