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SAR图像舰船目标检测算法的对比研究 被引量:16

Comparison on Ship Target Detection Algorithms of SAR Imagery
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摘要 SAR图像舰船目标检测有二种经典算法:双参数CFAR算法和K-分布CFAR算法。本文分析了二种算法的特点,使用RADARSAT卫星不同模式SAR图像分别进行实验,给出二种算法的适应性。 There are two classical ship target detection algorithms (two parameter CFAR algorithm and K-distribution CFAR algorithm) for SAR imagery. The characteristics of there two algorithms are analyzed. Experiments are done using these two algorithms on RADARS AT different beam mode SAR imagery. The adaptability of each method is presented.
出处 《信号处理》 CSCD 2003年第6期580-582,共3页 Journal of Signal Processing
基金 微波成像技术国家重点实验室基金(No.51442020301ZS2002)
关键词 双参数CFAR算法 K-分布CFAR算法 SAR图像 恒虚警算法 合成孔径雷达 舰船目标检测 海洋遥感 Target Detection Constant False Alarm Rate Algorithm Synthetic Aperture Radar
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参考文献8

  • 1K. Eldhuset, An Automatic Ship And Ship Wake Detection System for Spacebome SAR Images in Coastal Regions, IEEE trans, on Geoscience and remote sensing,1996, 34(4): 1010-1019.
  • 2David Cassent et al, Automatic Ship Detection Using New Conditional Contrast Box filter, SPIE, 1999, Vol.3721:274-284.
  • 3C.C. Wakerman et al, Automatic Ship Detection of Ships in RADARSAT SAR Imagery, Canadian Journal of Remote Sensing, 2001, 27(5): 371-378.
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  • 8Chris Oliver et al, Understanding Synthetic Aperture Radar Images, London, Artech House Inc., 1998, Chapter 5.

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