红外弱小目标检测方法综述
Infrared dim and small target detection:A review
查看参考文献146篇
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文摘
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红外弱小目标检测系统可灵活部署在不同的平台中,在红外预警、制导等领域具有重要实用价值。但是,由于复杂场景下存在信噪比低、背景变化剧烈等问题,导致复杂背景下的红外弱小目标检测非常困难,一直是目标探测领域的研究难点和研究热点。根据红外图像数据使用方式的不同,将现有目标检测方法划分为单帧型(含局部信息类与非局部信息类等)和多帧型(含关联校验类与直接求取类等)两大类,并分别进行了简要梳理,分析了不同方法的原理、优势及不足。最后,对本领域的发展趋势做出了预测。该工作既可以帮助初学者快速了解本领域的研究现状和发展趋势,也可作为其他研究者的参考资料。 |
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其他语种文摘
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Infrared dim and small target detection systems can be installed into a wide range of platforms, and has important practical value in the fields of infrared early warning, guidance and so on. However, it is challenging to detect dim and small target in complex background due to the low signal to noise ratio and radical change of background. Consequently, dim and small target detection in complex background is hotspot and hard pot of related field. In this paper, the previous works on IR dim and small target detection were divided into single-frame based(including methods based on local information and nonlocal information)and multi-frame based(including methods based on associated checking and directed calculation), and further the principles, advantages and drawbacks of these methods were analyzed. Finally, the comments and predictions on the development of IR dim and small target detection in the future were provided. Our work is not only a tutorial for the beginner in terms of current works and development trends, but also a reference for other researchers. |
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来源
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红外与激光工程
,2022,51(4):20210393 【核心库】
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DOI
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10.3788/IRLA20210393
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关键词
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红外弱小目标
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目标检测
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单帧型算法
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多帧型算法
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地址
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1.
周口师范学院物理与电信工程学院, 河南, 周口, 466001
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华中师范大学人工智能教育学部, 湖北, 武汉, 430079
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电子科技大学信息与通信工程学院, 四川, 成都, 611731
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中国科学院西安光学精密机械研究所, 陕西, 西安, 710119
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西北核技术研究所, 陕西, 西安, 710024
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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1007-2276 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金
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国家留学基金委员会（CSC）项目
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河南省科技厅科技发展计划项目
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河南省教育厅高等学校重点科研项目
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河南省教育厅新工科研究与实践项目
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湖北省自然科学基金
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中央高校基本科研业务费专项资金
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周口市科技局科技发展计划项目
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文献收藏号
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CSCD:7242358
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