| 基于SEEMD的高分辨率SAR图像目标特征提取方法 |
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| 引用本文： | 娄军,金添,周智敏. 基于SEEMD的高分辨率SAR图像目标特征提取方法[J]. 电子学报, 2012, 40(4): 793-798. DOI: 10.3969/j.issn.0372-2112.2012.04.028 |
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| 作者姓名： | 娄军 金添 周智敏 |
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| 作者单位： | 国防科技大学电子科学与工程学院,湖南长沙,410073 |
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| 基金项目： | 国家自然科学基金，全国优秀博士学位论文作者专项资金，新世纪优秀人才支持计划 |
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| 摘 要： | 针对高分辨率合成孔径雷达(SAR)图像,本文提出了一种基于分离集合平均经验模态分解(SEEMD)的目标散射特征提取方法.首先在图像二维波数域进行SEEMD分解获得每个目标的散射函数,然后估计目标散射特征参数,通过该参数可以区分目标所属的散射类型.最后,仿真实验和实测数据的处理验证了方法的有效性.
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| 关 键 词： | 高分辨率SAR图像 特征提取 经验模态分解 |
| 收稿时间： | 2011-01-26 |
A Target Feature Extraction Method Based on SEEMD in High-Resolution SAR Image |
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| LOU Jun , JIN Tian , ZHOU Zhi-min. A Target Feature Extraction Method Based on SEEMD in High-Resolution SAR Image[J]. Acta Electronica Sinica, 2012, 40(4): 793-798. DOI: 10.3969/j.issn.0372-2112.2012.04.028 |
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| Authors: | LOU Jun JIN Tian ZHOU Zhi-min |
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| Affiliation: | (College of Electronic Science and Engineering,National University of Defense Technology,Changsha,Hunan 410073,China) |
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| Abstract: | A high-resolution SAR image target feature extraction method based on Separate Ensemble Empirical Mode Decomposition(SEEMD) is proposed in this paper.Firstly,target scattering function is obtained in the image wave-number domain via SEEMD.Then the target scattering feature parameters are estimated,we can classify targets into different scattering types by these parameters.The computer simulation and the real data experiment show the validity of the method. |
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| Keywords: | high-resolution SAR image feature extraction empirical mode decomposition |
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