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A MULTI-SCALE MORPHOLOGICAL APPROACH TO SAR IMAGE EDGE DETECTION 被引量：1

A MULTI-SCALE MORPHOLOGICAL APPROACH TO SAR IMAGE EDGE DETECTION
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摘要 This paper introduces a multi-scale morphological edge detection algorithm to extract SAR image edge which suffers seriously from noise. Combining the basic theme of morphology with that of multi-scale analysis, the algorithm presents the outstanding characteristics of accuracy and robustness. Comparative Experiments reveal its fine performance. This paper introduces a multi-scale morphological edge detection algorithm to extract SAR image edge which suffers seriously from noise. Combining the basic theme of morphology with that of multi-scale analysis, the algorithm presents the outstanding characteristics of accuracy and robustness. Comparative Experiments reveal its fine performance.
作者 Tang Zhengjun Song Jianshe (Section of Information Engineering, Xi’an Hi-technology Research Institute, Xi’an 710025)
出处 《Journal of Electronics(China)》 2000年第3期208-212,共5页 电子科学学刊（英文版）
基金 Supported the NatioIlal Naturel Science Foundation of China(No.69831040)
关键词 MATHEMATICAL MORPHOLOGY MULTI-SCALE analysis Edge detection Performance evaluation Mathematical morphology Multi-scale analysis Edge detection Performance evaluation
分类号 TN957.52 [电子电信—信号与信息处理]
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参考文献1

  • 1M. Hueckel,An operator which locates edges in digitized pictures,J.Assoc.Comput[].Machinary.1971

同被引文献13

  • 1张晔,时萌,任广辉.Image Edge Detection Based on Wavelet Transform　[J].Journal of Harbin Institute of Technology(New Series),1996,3(3):33-37. 被引量：1
  • 2雍杨,王敬儒,陈昌彬,张启衡.基于融合技术的图像边缘检测方法[J].红外与激光工程,2004,33(5):542-544. 被引量：13
  • 3屈彦呈,王常虹,庄显义.Edge detection based on object tree image representation and wavelet transform[J].Journal of Harbin Institute of Technology(New Series),2003,10(1):68-71. 被引量：2
  • 4张红英,吴斌,彭启琮.An Improved Algorithm for Image Edge Detection Based on Lifting Scheme[J].Journal of Electronic Science and Technology of China,2005,3(2):113-115. 被引量：8
  • 5Piella G. A general framework for multi-resolution image fusion: from pixels to regions[J]. Information Fusion Volume:4, 2004, 4(4) :221.
  • 6Chibani Y, Houacine A. Redundant versus orthogonal wavelet decomposition for multi-sensor image fusion[J]. Pattern Recognition, 2003, 36 (4) : 879.
  • 7Pohl C, Van Genderen J L. Multisensor image fusion in remote sensing: concepts, methods and applications [J]. Int J Remote Sensing, 1998, 19(5) :823.
  • 8Liu Jianwei, Yin Qian, Guo Ping. A new strategy to improve image fusion effect [C] // Proceedings of 2006 International Conference on Machine Learning and Cybernetics (ICMLC2006). New York: IEEE, 2006 : 3770-3775.
  • 9Zhang Lianpeng, Liu Guolin, Jiang Tao. Edge detection of remote sensing image based on nonlinear intensity of curved surface[J]. Trans Nonferrous Met Soc China, 2003, 13(3): 739.
  • 10Rafael C G, Richard E W, Steven L E. Digital image processing using Matlab[M]. Beijing: Publishing House of Electronics Industry, 2004.

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Journal of Electronics(China)
2000年 第3期

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