基于属性散射中心的SAR成像方法

doi:10.12305/j.issn.1001-506X.2021.10.10

摘要/Abstract

摘要：

传统合成孔径雷达(synthetic aperture radar, SAR)成像技术假设目标回波是由各向同性的点散射模型的相干叠加形成, 在大转角成像时不再适用。且各向同性的散射模型忽略了目标同一结构像素间的相关性, 容易导致结构不连续, 给后续目标识别带来困难。为此, 本文提出了一种基于属性散射中心模型的SAR成像算法, 利用不同散射中心表现出的不同特性对其分别进行成像, 增强属于同一结构的像素间的相关性, 提高SAR图像的可视性。最后, 基于仿真和实测数据实验结果, 验证了方法的有效性, 与现有算法对比, 所提算法的图像质量在定性和定量评价指标上都有所提升。

关键词: 特征增强, 散射中心, 合成孔径雷达成像

Abstract:

Traditional synthetic aperture radar (SAR) imaging methods assume that radar targets are composed of point based scattering centers, which is not suitable for wide angle imaging. Moreover, gaps of components may be resulted because of neglecting their inherent scattering behaviors. In this way, it is hard to interpret and identify targets from SAR images. Therefore, a component imaging method for SAR is proposed in this paper, taking into account the inherent behaviors of components of radar targets to enhance the integrity of components in SAR. As a result, the SAR image is more likely to be understood by non-expert. Finally, experimental results based on both simulated and real measured data validate the effectiveness of the proposal. Compared with traditional methods, the proposal has improved the quality of the image both qualitatively and quantitatively.

Key words: feature enhancement, scattering center model, synthetic aperture radar (SAR) imaging

中图分类号:

TN95

段佳, 曹兰英, 吴亿锋. 基于属性散射中心的SAR成像方法[J]. 系统工程与电子技术, 2021, 43(10): 2782-2788.

Jia DUAN, Lanying CAO, Yifeng WU. Imaging algorithm for SAR based on attributed scattering center models[J]. Systems Engineering and Electronics, 2021, 43(10): 2782-2788.

图/表 6

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