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| Man-Made Target Detection of SAR Images |
| Cao Lan-ying①②; Xia Liang-zheng② |
| ①Chinese Leihua Electrical Technical Research Institute, Wuxi 214063,China;②Department of Automatic Control Engineering, Southeast University, Nanjing 210096,China |
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Abstract 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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Received: 15 June 2004
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2005, Vol. 27 
