期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

结合多尺度边缘检测的SAR结构邻域滤波方法 被引量：6

A SAR Image Filter Method Based on Structured Neibourhood Model with Multi-scale Edges Detection
在线阅读 下载PDF
导出
摘要 噪声抑制是合成孔径雷达(SAR)图像处理的一个重要环节,通常的方法在抑制噪声的同时也使得图像的边缘模糊。该文提出一种结合宏观边缘信息的SAR图像结构邻域滤波方法。首先利用多尺度边缘检测算法获得SAR图像主要的边缘信息,在此基础上对结构邻域滤波法进行改进。结构邻域滤波法用一系列反映图像局部方向信息的邻域模板描述图像的细节特性,滤波过程中引入图像的宏观边缘信息,对邻域模板的选择范围进行约束。最后运用模拟退火算法选取合适邻域模板对目标点的强度进行MAP估计。实验表明该方法能够较好地保持图像的边缘特征,同时有效抑制了斑点噪声。 Speckle reducing is an important step in Synthetic Aperture Radar （SAR） image processing, ordinary methods blur image edges while reducing speckle. A SAR image filter method based on structured neibourhood model with macroscopical edge information is proposed in this paper. First multi-scale edge detector is applied to achieve principal image edges, then structured neibourhood filter is modified and used. Structured neibourhood filter adopts a series of templates reflecting regional direction information to describe image detailed property, the macroscopical edge information is introduced to constrain the selection of templates while processing. Finally simulated annealing algorithm is used to get appropriate template, the MAP estimate of the object pixel intensity can be achieved. Experiment indicates this method reduces effectively speckle while preserving image edges.
作者 郦苏丹 李广侠
机构地区 解放军理工大学通信工程学院
出处 《电子与信息学报》 EI CSCD 北大核心 2006年第8期1480-1484,共5页 Journal of Electronics & Information Technology
关键词 SAR 滤波 结构邻域模型 多尺度 边缘检测 SAR, Filter, Structured neighbourhood model, Multi-scale, Edge detection
分类号 TP722.6 [自动化与计算机技术—检测技术与自动化装置] TN957.52 [电子电信—信号与信息处理]
  • 相关文献

参考文献15

  • 1Shi Zhenghao,Fung K B.A comparison of digital speckle filters[C].IGARSS'94:2129-2134.
  • 2Lopes A,Nezry E,Touzi R.Structure detection and statistical adaptive speckle filtering in SAR images[J].Int.J.of Remote Sensing,1993,14(9):1735-1758.
  • 3Ulaby F T,Kouyate F.Texture information in SAR images[J].IEEE Trans.on GRS,1986,24(2):235-245.
  • 4Lee J S.Speckle analysis and smoothing of synthetic aperture radar images[J].Computer Graphic and Image Processing,1981,17(1):24-32.
  • 5Kuan D T,Sawchuk A A.Adaptive noise smoothing filter for signal-dependent noise[J].IEEE Trans.on PAMI,1985,7(2):165-177.
  • 6Frost V S,Stiles J A.A model for radar images and its application to adaptive digital filtering of multiplicative noise[J].IEEE Trans.on PAMI,1982,4(2):157-166.
  • 7Lopes A,Tonzi R,Nezry E.Adaptive speckle filter and sense heterogeneity[J].IEEE Trans.on GRS,1990,28(6):992-1000.
  • 8Baraldi A,Parmiggiani F.A refined gamma MAP SAR speckle filter with improved geometrical adaptivity[J].IEEE Trans.on GRS,1995,33(5):1245-1257.
  • 9Marc S,Gianfranco D G.Analysis of speckle noise contribution on wavelet decomposition of SAR images[J].IEEE Trans.on GRS,1998,36(6):1953-1962.
  • 10Dong Y,Milne A K,Forster B C.Toward edge sharpening:a SAR speckle filtering algorithm[J].IEEE Trans.on GRS.2001,39(4):851-863.

二级参考文献32

  • 1刘贵忠 邸双亮.小波分析及其应用[M].西安:西安电子科技大学出版社,1995..
  • 2邹谋炎.反卷积和信号复原．中国科大研究生院(北京)教材[M].,1999..
  • 3Shi Z H, Fung K B. A Comparison of Digital Speckle Filters [A].Proceeding of International Geoscience and Remote Sensing Symposium, IGARSS'94 (New York: IEEE)[C], 1994, 2129-2133.
  • 4Lee J S. Speckle Suppression and Analysis for Synthetic Aperture Radar Images [J]. Optical Engineering, 1986, 25 (5) : 636-643.
  • 5Lee J S. Digital Image Enhancement and Noise Filtering by Use of Local Statistics [ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980, PAMI-2, (2) : 165-168.
  • 6Kuan D T, Sawchuk A A, Strand T C et al. Adaptive Noise Smoothing Filter for Images with Signal-dependent Noise[ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985, PAMI-7,(2): 165-177.
  • 7Frost V S, Stiles J A, Shanmugan K S, et al. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplieatire Noise[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982, PAMI-4, (2): 157-166.
  • 8Lopes A, Touzi R, Nezry E. Adaptive Speckle Filters and Scene Heterogeneity [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28 (6): 992-1000.
  • 9Kuan D T, Sawehuk A A, Strand T C, et al. Adaptive Restoration of Images with Speckle [ J ]. IEEE Transactions on Acoustics,Speech, and Signal Processing, 1987, ASSP-3S (3): 373-383.
  • 10Crimmins T R. Geometric Filter for Speckle Reduction [J]. Applied Optics, 1985, 24 (10): 1438-1443.

共引文献28

同被引文献49

引证文献6

二级引证文献30

电子与信息学报
2006年 第8期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部