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UWB SAR非均匀区域目标检测方法 被引量:4

UWB SAR Target Detection in Nonhomogenous Environment
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摘要 在超宽带合成孔径雷达(UWBSAR)图像目标检测中不仅会遇到均匀杂波区域,还会遇到叶簇区域、空旷区域及干扰目标等组成的非均匀杂波区域。恒虚警率(CFAR)目标检测是雷达目标检测的重要方法,而传统的CFAR检测对UWBSAR非均匀杂波区域目标检测效果较差。首先分析了叶簇区域、空旷区域及二者混合区域的杂波分布。然后针对UWBSAR的实际情况,运用智能索引变量的CFAR检测技术(VICFAR),使得均匀杂波和非均匀杂波背景中目标检测都取得了较好的效果。最后,利用实际UWBSAR目标检测结果验证了VICFAR的有效性。 Targets in UWB SAR images are commonly located in homogenous or nonhomogenous environment composed of foliage and nonfoliage regions. Constant False Alarm Rate (CFAR) detector is widely used in radar target detection, but traditional CFAR detector fails in nonhomogenous environment. In this paper, we analyze first the features of clutter in regions with foliage, without foliage and their combination. Then a Variability Index (VI) CFAR detector is proposed to provide robust and higher performance in homogenous and nonhomogenous clutter environment. Real UWB SAR target detection results verified the efficiency of the VI CFAR detectors.
出处 《现代雷达》 CSCD 北大核心 2005年第7期35-38,共4页 Modern Radar
关键词 超宽带合成孔径雷达 恒虚警率目标检测 非均匀杂波 索引变量 UWB SAR CFAR detector nonhomogenous environment variability index(VI)
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参考文献5

  • 1Michael E S, Pramod K V.Intelligent CFAR processor based on data variability. IEEE Transaction on Aerospace and Electronic Systems2000,AES36(3): 837-847
  • 2Anastassopoulos V, Lampropoulos G A, Drosopoulos A. High resolution radar clutter statistics. IEEE Transaction on Aerospace and Electronic Systems, 1999,AES35(1):43-60
  • 3Billingsley J B,Farina A, Gini F. Statistical analyses of measured radar ground clutter data. IEEE Transaction on Aerospace and Electronic Systems, 1999,AES35(2):579-593
  • 4Prashant P G,Eduardo C,Lee B. CFAR signal detection in nonhomogeneous Weibull clutter and interference. IEEE International Radar Conference, 1995
  • 5种劲松,朱敏慧.SAR图像局部窗口K-分布目标检测算法[J].电子与信息学报,2003,25(9):1276-1280. 被引量:24

二级参考文献8

  • 1K Eldhuset, An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions, IEEE Trans. on Geoscience and Remote Sensing, 1996, 34(4), 1010-1019.
  • 2D Cassent, et al., SAR 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.
  • 4P W Vachon, Ship detection by the RADARSAT SAR: Validation of detection model predictions,Canadian Journal of Remote Sensing, 1997, 23(1), 48-59.
  • 5N Robertson, et al., Ship surveillance using RADARSAT ScanSAR images, Ship Detection in Coastal Waters Workshop 2000, NS, Canada, 31May, 1&2 June, 2000, 41-45.
  • 6Qingshan Jiang, et al., Automatic detection for ship targets in RADARSAT SAR images from coastal regions, Vision Interface'99, Trois-Tividres, Canada, May 1999, 131-137.
  • 7L M Novak, et al., Effects of polarization and resolution on SAR ATR, IEEE Trans. on Aerospace and Electronic Systems, 1997, 33(1), 102-115.
  • 8C Oliver, et al., Understanding Synthetic Aperture Radar Images, London, Artech House Inc.,1998, Chapter 5.

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