| 基于匹配追踪算法的SAR超分辨成像 |
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| 引用本文： | 倪伟,王正明,汪雄良.基于匹配追踪算法的SAR超分辨成像[J].宇航学报,2007,28(2):465-469. |
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| 作者姓名： | 倪伟 王正明 汪雄良 |
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| 作者单位： | 1. 国防科技大学信息系统与管理学院,长沙,410073
2. 国防科技大学理学院,长沙,410073 |
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| 摘 要： | 提出了一种新的SAR超分辨成像方法。在SAR图像相位历史域点散射模型的基础上，利用SAR图像目标稀疏的性质，构造子像素级的紧致字典，并设计了一种改进的匹配追踪迭代算法来估计模型参数，从而生成更大尺度的相位历史数据，对得到的相位历史域数据成像即得到了更高分辨率的SAR图像。实验结果表明该算法具有良好的超分辨性能，同时所需时问比基追踪方法缩短40％以上。
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| 关 键 词： | 匹配追踪 子像素级紧致字典 超分辨 |
| 文章编号： | 1000-1328（2007）02-0465-05 |
| 修稿时间： | 2006-05-102006-09-06 |
SAR Super-Resolution Imaging Based on Match Pursuit Algorithm |
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| NI Wei,WANG Zheng-ming,WANG Xiong-liang.SAR Super-Resolution Imaging Based on Match Pursuit Algorithm[J].Journal of Astronautics,2007,28(2):465-469. |
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| Authors: | NI Wei WANG Zheng-ming WANG Xiong-liang |
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| Institution: | 1. School of information System and Management, National university of Defense Technology, Changsha 410073, China; 2. School of Science, National university of Defense Technology, Changsha 410073, China |
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| Abstract: | A novel SAR super-resolution imaging method is proposed. Based on the point-scattering model in the phase history domain, a compacted dictionary in sub-pixel is constructed in this paper by making use of the sparsity of target in SAR image. And a modified iterative algorithm based on Match Pursuit is designed to estimate the parameters of the point - scattering model. Then, larger scale phase history data is built. By IFYF imaging, the higher resolution image is obtained. Experiment results demonstrate that this algorithm can provide super-resolution, and the time it costs is shortened more than 40% . |
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| Keywords: | Match Pursuit Compacted dictionary in sub-pixel Super-resolution |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
