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基于高阶分形特征的海面运动目标检测方法 被引量:2

Detection of Moving Target under Sea Background Based on High-order Fractal Feature
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摘要 将高阶分形特征用于海面运动目标检测,提取出用于区分运动目标和海杂波的新的分形特征——缝隙特征。实验表明利用缝隙特征进行海面运动目标检测,可以取得较分形维检测更高的准确率。 The high-order fractal feature is employed to detection of moving target under sea background. The new fractal feature-lacunarity is used to identify moving target and sea clutter. The experiments show that higher detection accuracy of moving targets can be obtained by using lacunarity feature than by fractal dimension. on
出处 《激光与红外》 CAS CSCD 北大核心 2008年第6期602-604,共3页 Laser & Infrared
基金 国家自然科学基金(No.60572160)资助
关键词 高阶分形特征 缝隙 目标检测 high-order fractal feature lacunarity target detecti
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  • 1C Allain, M Cloitre. Charaterzing the lacunarity of random and deterministic fractal sets[ J]. Phy. Rev. A, 1991,44 (6) :61 -65.
  • 2Andrew J E. Self-affinity and lacunarity of chromation texturein benign and malignant breast epithelial cell nuclei [ J]. Phys. Rev. Lett,1998,80(2) :41 -46.
  • 3杜干,张守宏.高阶分形特征在雷达信号检测中的应用[J].电子学报,2000,28(3):90-92. 被引量:13
  • 4Nirupam Sarkar,B B Chaudhufi. An efficient diferential box counting approach to compute fractal dimension of image [ J ]. IEEE Transaction on Systems, Man, and Cybernetics, 1994, 24 ( 1 ) : 34 - 48.
  • 5Peli T. Muhiscale fractal theory and object characterization [ J ]. J. Opt. Soc. Am A,1990,7(6) :27 -31.

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  • 1魏颖,佟国峰,史泽林,于海斌.一种基于多尺度分形新特征的目标检测方法[J].东北大学学报(自然科学版),2005,26(11):1062-1065. 被引量:8
  • 2雍杨,王敬儒,张启衡.复杂背景下运动目标分割算法研究[J].系统工程与电子技术,2005,27(12):2014-2015. 被引量:5
  • 3Fan J P, David K Y,Ahmed K E, et al. Automatic image segmentation by integrating color edge extraction and seeded region growing [ J ]. IEEE Trans. On Image Processing,2001,10(10) : 1454 - 1466.
  • 4Chauduri B B, Nirupam S. Texture segmentation using fraetal dimension [ J ]. IEEE Tran on Pattern Analysis Mach. Intell, 1995,17 ( 1 ) :72 - 77.
  • 5Keller J, Crownover R, Chen R. Characteristics of nature scenes related to the fractal dimension [ J ]. IEEE Trans on PAMI, 1987,9 (5) :621 - 627.
  • 6Peleg J, Nato R, Harley R, et al. Multiple resolution textures analysis and classification [ J ]. IEEE Trans on PAMI,1985,6(4) :518 -523.
  • 7Sarkar N, Chaudhuri. An efficient approach to estimate fractal dimension of texture images [ J ]. Pattern Recognition, 1992,25 (9) : 1035 - 1041.
  • 8Dong P. Test of a new lacunarity estimation method for image texture analysis[J].International Journal of Remote Sensing,2000,(17):3369-3373.
  • 9Du G. Eye location method based on symmetry analysis and high-order fractal feature[J].IEE Proceedings Vision,Image,and Signal Processing,2006,(01):11-16.
  • 10何四华,杨绍清,石爱国,李天伟.纹理高阶分形特征在海面舰船目标检测中的应用[J].光学与光电技术,2008,6(4):79-82. 被引量:11

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