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基于散射机理分类与方位对称性判决的极化SAR人造目标提取 被引量：3

Man-made Target Extraction Based on Scattering Mechanism Identification and Azimuthal Symmetry Decision of POLSAR Images
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摘要 由于极化SAR人造目标电磁散射的复杂性,已有极化SAR人造目标提取方法难以完整地提取出感兴趣区域内不同类型的目标。针对这一不足,提出一种基于散射机理分类与方位对称性判决的提取新方法,充分利用目标与杂波在散射机理类型及方位对称性上的差异进行提取。与已有方法相比,该方法对极化SAR图像中不同极化特征的人造目标都有较好的提取性能,提取结果更为完整和准确。利用全极化SAR实测数据验证了本方法的有效性和优良性能。 Owing to the complexity of the electromagnetic scattering characteristics of man-made targets, it is difficult for traditional extraction methods to discriminate all potential targets from polarimetric synthetic aperture radar （POLSAR） images. To overcome this shortcoming, a novel scheme based on scattering mechanism identification and azimuthal symmetry decision is proposed in this paper. The novel scheme is implemented based on the difference between man-made target, and natural clutter on scattering mechanism type and the property of azimuthal symmetry. Compared with traditional methods, our scheme has the advantage of obtaining a mere successful result, and targets exhibiting different types of palarimetric characteristics can all be well extracted. The validity of the novel scheme is verified by fully polarimetric SAR data.
作者 徐牧 王雪松 肖顺平 王涛
机构地区 国防科技大学电子科学与工程学院
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2008年第5期68-72,共5页 Journal of National University of Defense Technology
基金 全国优秀博士学位论文专项资金资助项目(08100101) 新世纪优秀人才计划项目资助(NCET-04-0997)
关键词 极化SAR 人造目标提取 散射机理 方位对称性 POLSAR man-made target extraction scattering mechanism azimuthal symmetry
分类号 TN957 [电子电信—信号与信息处理]
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参考文献10

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同被引文献24

  • 1邵芸,宫华泽,王世昂,张风丽,田维.多源雷达遥感数据汶川地震灾情应急监测与评价[J].遥感学报,2008,12(6):865-870. 被引量：29
  • 2Jackson J A. Three-dimensional feature models for synthetic aperture radar and experiments in feature extraction[D]. [Ph.D. dissertation], Ohio State University, 2009.
  • 3Fuller D F. Phase history decomposition for efficient scatterer classification in SAR imagery[D]. [Ph.D. dissertation], Air Force Institute of Technology, 2011.
  • 4Saville M A, Jackson J A, and Fuller D F. Rethinking vehicle classification with wide-angle polarimetric SAR[J]. IEEE Aerospace and Electronic Systems Magazine, 2014, 29(1): 41-49.
  • 5Wang J, Li Y, and Chen K. Radar high-resolution range profile recognition via geodesic weighted sparse representation[J]. IET Radar, Sonar & Navigation, 2015, 9(1): 75-83.
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  • 7Potter L C and Moses R. Attributed scattering centers for SAR ATR[J]. IEEE Transactions on Image Processing, 1997, 6(1): 79-91.
  • 8Krogager E. New decomposition of the radar target scattering matrix[J]. Electronics Letters, 1990, 26(18): 1525-1527.
  • 9Lee J-S and Pottier E. Polarimetric Radar Imaging: From Basics to Applications[M]. Taylor & Francis Group, CRC Press, 2009.
  • 10Kimura H, Papathanassiou K P, and Hajnsek I. Polarization orientation effect in urban areas on PolSAR data[C]. Proceedings of IGARSS 2005, Seoul, 2005, 7: 4863-4867.

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国防科技大学学报
2008年 第5期

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