| 红外序列图像中运动弱小目标检测 |
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| 引用本文： | 张强,蔡敬菊,张启衡.红外序列图像中运动弱小目标检测[J].强激光与粒子束,2011,23(12):32-33. |
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| 作者姓名： | 张强 蔡敬菊 张启衡 |
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| 作者单位： | 1.中国科学院 光电技术研究所, 成都 61 0209; |
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| 基金项目： | 中国科学院科技创新基金 |
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| 摘 要： | 为检测红外序列图像中的运动弱小目标，分析了目标在序列图像中的运动特性和概率分布特性，以及目标和噪声在序列中的能量分布特性。提出连续M帧高阶累积方法来增强运动弱目标能量，用假设检验对目标和背景进行分割，通过搜寻序列运动能量中心来实现目标的多帧关联检测。通过仿真实验证明了算法对红外弱小目标检测有效性。
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| 关 键 词： | 红外弱小目标 高阶累积 假设检验 序列运动能量中心 |
Dim-small moving target detection in infrared image sequences |
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| Zhang Qiang
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Cai Jingju
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Zhang Qiheng.Dim-small moving target detection in infrared image sequences[J].High Power Laser and Particle Beams,2011,23(12):32-33. |
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| Authors: | Zhang Qiang Cai Jingju Zhang Qiheng |
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| Affiliation: | 1.Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China |
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| Abstract: | For detecting the moving dim-small targets in infrared image sequences, the paper studies the motion characteristics, the probability distribution characteristics, and the energy distribution characteristics between targets and noises. Firstly, it uses high-order cumulant based on M continuous images to enhance the energy of moving dim targets. Then the hypothesis test is used to separate the targets and background. Finally, the multi-frame correlation detection is made through searching the moving energy center of image sequences. The simulation results show that the proposed algorithm is effective for infrared dim-small targets detection. |
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| Keywords: | high-order cumulant hypothesis test sequence moving energy center |
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