通过 EM 算法提取 SAR 图像中重叠船舶目标的新方法

IF 1.9 3区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Rui Cao, Yong Wang
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引用次数: 0

摘要

在多个成像投影面(IPP)和多个重叠舰船目标的情况下,合成孔径雷达(SAR)图像的质量会下降,进而影响目标分类和识别的性能。为解决这一问题,本文提出了一种通过期望最大化(EM)算法提取重叠船舶目标的方法。首先,通过目标检测技术获得船舶目标的散射体。然后,应用 EM 算法提取具有单个 IPP 的单个舰船目标的散射体。然后,提出一种新颖的图像振幅估计方法,利用这种方法可以生成具有单一 IPP 的单一目标的雷达图像。所提出的方法可以在图像域中完成 IPP 选择和目标分离,从而提高图像质量并最大限度地保留目标信息。模拟和实际测量数据的结果证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Method for Extraction of Ship Target with Overlaps in SAR Image via EM Algorithm
The quality of synthetic aperture radar (SAR) image degrades in the case of multiple imaging projection planes (IPPs) and multiple overlapping ship targets, and then the performance of target classification and recognition can be influenced. For addressing this issue, a method for extracting ship targets with overlaps via the expectation maximization (EM) algorithm is proposed. First, the scatterers of ship targets are obtained via the target detection technique. Then, the EM algorithm is applied to extract the scatterers of a single ship target with a single IPP. Afterwards, a novel image amplitude estimation approach is proposed, with which the radar image of a single target with a single IPP can be generated. The proposed method can accomplish IPP selection and targets separation in the image domain, which can improve the image quality and reserve the target information most possibly. Results of simulated and real measured data demonstrate the effectiveness of the proposed method.
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来源期刊
Journal of Systems Engineering and Electronics
Journal of Systems Engineering and Electronics 工程技术-工程:电子与电气
CiteScore
4.10
自引率
14.30%
发文量
131
审稿时长
7.5 months
期刊介绍: Information not localized
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