Man-made Target Detection in the Complicated Scene of High-resolution SAR

Guo  Rui; Zang  Bo; Zhang  Shuang-Xi; Zhou  Feng; Xing  Meng-Dao

doi:10.3724/SP.J.1146.2010.00118

Volume 32 Issue 12

Jan. 2011

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Guo Rui, Zang Bo, Zhang Shuang-Xi, Zhou Feng, Xing Meng-Dao. Man-made Target Detection in the Complicated Scene of High-resolution SAR[J]. Journal of Electronics & Information Technology, 2010, 32(12): 3018-3021. doi: 10.3724/SP.J.1146.2010.00118

Citation:

Guo Rui, Zang Bo, Zhang Shuang-Xi, Zhou Feng, Xing Meng-Dao. Man-made Target Detection in the Complicated Scene of High-resolution SAR[J]. Journal of Electronics & Information Technology, 2010, 32(12): 3018-3021. doi: 10.3724/SP.J.1146.2010.00118

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Man-made Target Detection in the Complicated Scene of High-resolution SAR

doi: 10.3724/SP.J.1146.2010.00118

Received Date: 2010-01-29
Rev Recd Date: 2010-06-01
Publish Date: 2010-12-19

Abstract

Abstract

The aim of Sythetic Aperture Radar (SAR) imaging is to detect, identify and track the target in the complicated scene. In the paper, a new method is proposed to detect the man-made target in the complicated background. First, the improved Lee filtering algorithm using information entropy is proposed to eliminate the effect of noise and keep the detailed characteristic; then, a threshold-based segmentation technique is employed to do a cursory target detection in the high-resolution SAR image; finally, the characteristic (the size and the shape) of target is picked up based on the Directed Gradient Power (DGP). After above operation, the target is accurately detected. Meanwhile, the measured data is used to validate the effectiveness of the method.
- Sythetic Aperture Radar (SAR),
- Image smoothing,
- Directed Gradient Power (DGP),
- Fractal features

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References(1)

References

Conte E, De Maio A, and Ricci G. CFAR detection of distributed targets in non-Gaussian disturbance[J].IEEE Transactions on Aerospace and Electronic Systems.2002, 38(2):612-621[2]贾承丽,周晓光,计科峰,匡纲要. 复杂SAR场景中机场跑道的提取[J].信号处理.2007, 23(3):374-378Jia Cheng-li, Zhou Xiao-guang, Ji Ke-feng, and Kuang Gang-yao. Extraction of runways in complex synthetic aperture radar images. Signal Processing, 2007, 23(3): 374-378.[3]戴光照，张荣. 高分辨率SAR图像中的桥梁识别方法研究[J].遥感学报.2007, 11(2):177-184Dai Guang-zhao and Zhang Rong. A study of bridge recognition in high resolution SAR images. Journal of Remote Sensing, 2007, 11(2): 177-184.[4]种劲松,朱敏慧. 高分辨率合成孔径雷达图像舰船检测方法[J].测试技术学报.2003, 17(1):15-18Chong Jin-song and Zhu Min-hui. Ship detection method of high-resolution SAR imagery. Journal of Test and Measurement Technology, 2003, 17(1): 15-18.[5]Lee J S. A simple speckle smoothing algorithm for synthetic aperture radar images. IEEE Transation on System, Man, and Cybernetics, 1983, 13(1): 85-89.[6]Duda R O. Pattern Recognition and Image Processing[M]. Chichester, Horwood Publishing, 1998: 266-306.[7]谢明，李文博，罗代升. SAR图像目标的方向梯度能量分形特征研究[J].光电工程.2008, 35(4):84-90Xie Ming, Li Wen-bo, and Luo Dai-sheng. Directed gradient power fractal features of SAR image objects. Opto-Electronic Engineering, 2008, 35(4): 84-90.

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