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SAR图像舰船识别的三维空间逆投影与匹配技术

 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.
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. (in Chinese)

• 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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