| SAR 图像目标检测方法综述 |
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| 引用本文： | 李永刚.SAR 图像目标检测方法综述[J].兵工自动化,2021,40(12):91-96. |
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| 作者姓名： | 李永刚 |
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| 作者单位： | 航天工程大学研究生院,北京 101416;航天工程大学电子与光学系,北京 101416 |
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| 摘 要： | 目标检测是合成孔径雷达(synthetic aperture radar,SAR)图像方面的研究热点,综述SAR图像目标检测的几种方法.通过对传统方法SAR图像目标检测和基于深度学习的SAR图像目标检测进行梳理总结,从实验方面验证深度学习在复杂背景下SAR图像舰船检测存在的问题,分析目前SAR图像目标检测算法的优势和存在的不足,明确SAR图像目标检测急需解决的问题.
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| 关 键 词： | 合成孔径雷达 SAR目标检测 深度学习 |
| 收稿时间： | 2021/8/29 0:00:00 |
| 修稿时间： | 2021/9/27 0:00:00 |
Review of SAR Image Target Detection Method |
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| Li Yonggang,Zhu Weigang,Huang Qiongnan.Review of SAR Image Target Detection Method[J].Ordnance Industry Automation,2021,40(12):91-96. |
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| Authors: | Li Yonggang Zhu Weigang Huang Qiongnan |
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| Abstract: | Target detection is a hot research topic in synthetic aperture radar (SAR) image, and several methods of
SAR image target detection are comprehensively discussed in this paper. By sorting out and summarizing the traditional
method SAR image target detection and SAR image target detection based on deep learning, the problems of deep learning
in SAR image ship detection in complex background are verified from experimental aspects. The advantages and
disadvantages of current SAR image target detection algorithms are analyzed, and the urgent problems of SAR image
target detection are clarified. |
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| Keywords: | synthetic aperture radar SAR target detection deep learning |
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