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Volume 27 Issue 12
Dec.  2005
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Cao Lan-ying, Xia Liang-zheng . Man-Made Target Detection of SAR Images[J]. Journal of Electronics & Information Technology, 2005, 27(12): 1872-1875.
Citation: Cao Lan-ying, Xia Liang-zheng . Man-Made Target Detection of SAR Images[J]. Journal of Electronics & Information Technology, 2005, 27(12): 1872-1875.

Man-Made Target Detection of SAR Images

  • Received Date: 2004-06-15
  • Rev Recd Date: 2005-02-14
  • Publish Date: 2005-12-19
  • In the process of SAR (Synthetic Aperture Radar) ATR (Automatic Target Recognition), man-made target detection is very important. In this paper, analyzing the characteristics of SAR images, a new method is proposed to detect man-made targets in SAR images. Firstly, the image is smoothed with the adaptive wavelet filter; the multiple speckles are removed while the edge property of SAR images is sustained. It made the detection easier. Then, the images is segmented with the 2-D C-partition fussy entropy method based on adaptive genetic algorithm. Test results show that the algorithm can detect man-made targets effectively.
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  • Lee Jong-Sen. Speckle analysis and smoothing of synthetic aperture radar images[J].Computer Graphics and Image Processing.1981, 17(1):24-32[2]Donoho D L. De-noising by soft-thresholding[J].IEEE Trans. on Information Theory.1995, 41(3):613-627[3]Arsenault H H, April G. Properties of speckle integrated with a finite aperture and logarithmically transformed. J. Opt, soc, 1976: 1160-1163.[4]Touzi R, Lopes A, Bousquet P. A statistical and geometrical edge detector for SAR images[J].IEEE Trans. on Geoscience and Remote Sensing.1988, 26(7):764-773[5]金立左,袁晓辉,赵一凡,夏良正. 二维模糊划分最大熵图像分割算法[J].电子与信息学报.2002, 24(8):1040-1048浏览[6]王小平,曹立明. 遗传算法-理论、应用与软件实现. 西安:西安交通大学出版社,2002: 73-74.
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