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SAR图像舰船识别的三维空间逆投影与匹配技术

顾丹丹 许小剑

顾丹丹, 许小剑. SAR图像舰船识别的三维空间逆投影与匹配技术[J]. 北京航空航天大学学报, 2014, 40(8): 1078-1084. doi: 10.13700/j.bh.1001-5965.2013.0539
引用本文: 顾丹丹, 许小剑. SAR图像舰船识别的三维空间逆投影与匹配技术[J]. 北京航空航天大学学报, 2014, 40(8): 1078-1084. doi: 10.13700/j.bh.1001-5965.2013.0539
Gu Dandan, Xu Xiaojian. 3-D back projection and matching for ship recognition from SAR images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(8): 1078-1084. doi: 10.13700/j.bh.1001-5965.2013.0539(in Chinese)
Citation: Gu Dandan, Xu Xiaojian. 3-D back projection and matching for ship recognition from SAR images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(8): 1078-1084. doi: 10.13700/j.bh.1001-5965.2013.0539(in Chinese)

SAR图像舰船识别的三维空间逆投影与匹配技术

doi: 10.13700/j.bh.1001-5965.2013.0539
详细信息
    作者简介:

    顾丹丹(1983-),女,河南周口人,博士生,gdd830811@163.com.

  • 中图分类号: TN958

3-D back projection and matching for ship recognition from SAR images

  • 摘要: 提出一种合成孔径雷达(SAR,Synthetic Aperture Radar)图像舰船识别新技术.首先通过将SAR图像逆投影至三维(3-D,Three-Dimensional)目标空间,提取目标空间3-D逆投影散射图 (BPSI,Back Projection Scattering Image)来表征观测舰船目标的强散射源三维分布;然后采用物理光学法预测各候选舰船目标的3-D热点散射图(HSPI,Hot Scattering Point Image),进而匹配3-D BPSI与3-D HSPI来识别舰船.为了提高计算效率,采用一种两级分层匹配策略:第1步利用几何特征进行预筛选;少数被选取的候选目标参与第2步的分类判决,同时设计一种便于实现的“模糊”匹配准则,克服了“点对点”准则对计算误差等非理想因素敏感的问题.仿真和实测舰船SAR图像的实验结果,显示了3-D散射特征在目标区分能力和可视化效果方面的优势,证明了该方法的有效性.

     

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出版历程
  • 收稿日期:  2013-09-23
  • 刊出日期:  2014-08-20

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