A Target Feature Extraction Method Based on SEEMD in High-Resolution SAR Image

LOU Jun; JIN Tian; ZHOU Zhi-min

doi:10.3969/j.issn.0372-2112.2012.04.028

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A Target Feature Extraction Method Based on SEEMD in High-Resolution SAR Image

更新时间：2025-07-16

- A Target Feature Extraction Method Based on SEEMD in High-Resolution SAR Image
- Acta Electronica Sinica Vol. 40, Issue 4, Pages: 793-798(2012)
- 作者机构：
  
  国防科技大学电子科学与工程学院,湖南,长沙,410073
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.04.028
  CLC： TN957
- Published：2012
- 稿件说明：
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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：

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.

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.

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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