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真实孔径雷达海洋图像的分形特征分析 被引量:1

Fractal analysis of real aperture radar ocean image
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摘要 结合海洋雷达图像的电磁散射机理,采用小波分析方法对真实孔径雷达海洋图像的分形维数和特征进行分析,发现虽然海洋表面波具有分形的特征,但是海洋雷达图像在布拉格散射机制主导的情况下,不具备分形特征。为了准确计算雷达图像的分形维数,还对差分盒计数法、数学形态学方法和小波分析方法三种分形维数的计算方法进行了评估,通过对已知维数的模拟图像进行分形维数的计算,分析了三种方法的优缺点。 Three methods for fractal dimension analysis are applied to airborne real aperture radar ocean images to study the fractal characteristics of the ocean radar backscatter. It is found that although the sea surface has fractal properties, its xband radar image exhibits no fractal characteristics when the dominating scattering mechanism is Bragg scattering. The result is discussed within the context of scattering mechanisms dominating radar echoes under these conditions. To compute the fractal dimension of the radar image correctly, differential box-counting approach, morphological method and wavelet variance method are evaluated and compared by analyzing simulated gray images with known fractal dimensions.
出处 《电波科学学报》 EI CSCD 北大核心 2007年第4期604-609,645,共7页 Chinese Journal of Radio Science
关键词 真实孔径雷达 雷达海洋图像 分形维数 小波分析方法 布拉格散射 real aperture radar, radar ocean image, fractal dimension, wavelet variance method, Bragg scattering
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参考文献30

  • 1B B Mandelbrot.The Fractal Geometry of Nature[M].New York:W.H.Freeman,1982.
  • 2Zheng Jianghua,Yan Lei,He Kai,et a1..The fractal method Study tO distinguish road and water from the IKONOS image[C].Proc.IEEE IGARSS’05,2005,6,3822-3825.
  • 3He Kai,Yan Lei,Liu jingjing.A method of denoising remote sensing signal from natural background based on wavelet and Shannon entropy[C].Remote Sensing and Space Technology for Multidisciplinary Research and Applications,Proc.of SPIE,2005,6199,61990L.
  • 4Pentlend A P.Fractal based description of natural scenes[J].IEEE Trans.Patt.Anal.Machine Intel,1984,PAMI-6,661-674.
  • 5G Beneli and A Garzelli.Oil-spills detection in SAR images by fractal dimension estimation[C].Proc.IEEE IGARSS’99,1999,218-220.
  • 6F Berizzi,F Dell’Acqua,P Gamba,et a1.On the fractal behavior of SAR images of ocean sea surface[C].Proc.IEEE IGARSS’01,2001,4,1729-1731.
  • 7Beckmann,P,Spizzichino,A.The Scattering of Electromagnetic Waves from Rough Surfaces[M].New York:Macmillan Co,1963.
  • 8F T Ulaby,R K Moore,and A K Fung.Microwave Remote Sensing[M].vol.II,Addison-Wesley,Reading,Mass,1982.
  • 9Qian Huang,Jacob R Lorch and Richard C Dubes.Can the fractal dimension of images be measured [J].Pattern Recognition,1994,27(3):339-349.
  • 10Donelan,M A,and W J Pierson,Jr.Radar scattering and equilibrium ranges in wind-generated waves with application to scatterometry[J].J.Geophys.Res.1987,92(C5):4971-5029.

二级参考文献36

  • 1Gaddis L R, Mongini-Mark P J. Mississippi River Outflow Patterns Seen by Seasat Radar, Geology[J]. 1985, 13:227~230.
  • 2Alpers W, Hennings I. A Theory for the Imaging Mechani-sm of Underwater Bottom Topography by Real and Synthetic Aperture Radar[J]. J Geophys Res, 1984,9:10529~10546.
  • 3Lyzenga D R. Interaction of Short Surface and Electromagn-etic Waves with Ocean Fronts[J]. J Geophys Res, 1991, 96:10765~107721.
  • 4Vogelzang J. Mapping Submarine Sand Waves with Multiba-nd Imaging Radar 1. Model Development and Sensitivity An-alysis[J]. J Geophys Res, 1997a, 102:1163~1181.
  • 5Wright J W. Backscattering from Capillary Waves with App-lication to Sea Clutter[J]. IEEE Trans AP-14, 1966.749~754.
  • 6Barr D J, Miles R D. Techniques for Utilizing Side-looking Airborne Radar(SLAR) Imagery in Regional Highway Planning[J]. Natl Acad Sci Natl Res Counc Natl Coop Highway Res, 1969. 49~56.
  • 7Crook J P, Kyle D L. Application of Side Looking Airborne Radar Scanning in Exploration and Regional Survey[J]. SAE Preprints, 1973. 83~88.
  • 8De Loor G P. The Observation of Tidal Patterns, Currents and Bathymetry with SLAR Imagery of the Sea[J]. IEEE J Oceanic Engineering, 1981,6:124 ~129.
  • 9Ulaby F T, Moore R K, Fung A K. Microwave Remote Sensing, Active and Passive[M]. Addison-Wesley, 1982.
  • 10Askari F, Geernaert G L, Keller W C, et al. Radar Imaging of Thermal Fronts[J]. International Journal of Remote Sensing, 1993,14:275~294.

共引文献12

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  • 1郭飞,徐绍辉,刘建立.土壤样本分形几何特征的图像分析方法[J].土壤学报,2005,42(1):24-28. 被引量:12
  • 2李国宾,孟歆,关德林,魏海军.基于小波和分形提取磨粒图像特征参数的研究[J].内燃机学报,2006,24(5):476-479. 被引量:4
  • 3油新华.土石混合体随机结构模型及其应用研究[D].北京:北方交通大学土木建筑工程学院,2002.
  • 4Mandelbrot B B.The fractal geometry of nature[M].上海:上海远东出版社,1998.
  • 5Peyton L, Gantzer C J,Anderson S H, et al .Fraetal di- mension to describe soil macropore structure using X ray computer tomography[J].Water Resource Research, 1994,30(3):691-700.
  • 6Pachepsky Y A,Timlin D,Varallyay G.Artificial neural networks to estimate soil water retention from easily measurable data [J]. Soil Science Society of America Joumal,1996,60:727-733.
  • 7Benell G,Garzelli A.Oil-spills detection in SAR imag- esby fractal dimension estimation[C]. Proc. IEEE IGARS S'99,1999,218 -220.
  • 8Berizzi F,Dell'Acqua F,Gamba P,et al.On the fractal behavior of SAR images of ocean sea surface[C]. ProC.IEEE 1GARSS'01.2001,4,1729-1731.
  • 9李华强,喻擎苍,方玫.Canny算子中Otsu阈值分割法的运用[J].计算机工程与设计,2008,29(9):2297-2299. 被引量:55
  • 10夏政伟,赵健,蒲小勤,郭秀梅.多重分形应用于图像局部分割的研究[J].计算机工程与应用,2009,45(27):191-192. 被引量:6

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