| 基于时域信噪比的红外弱小目标检测 |
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| 引用本文： | 刘 炎,王 涛,陈凡胜,苏晓锋.基于时域信噪比的红外弱小目标检测[J].太赫兹科学与电子信息学报,2019,17(1):118-123. |
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| 作者姓名： | 刘 炎 王 涛 陈凡胜 苏晓锋 |
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| 作者单位： | 1.Key Laboratory of Infrared System Detection and Imaging Technology，Shanghai Institute of Technical Physics，Shanghai 200083，China；2.University of Chinese Academy of Sciences，Beijing 100049，China,1.Key Laboratory of Infrared System Detection and Imaging Technology，Shanghai Institute of Technical Physics，Shanghai 200083，China；2.University of Chinese Academy of Sciences，Beijing 100049，China,Key Laboratory of Infrared System Detection and Imaging Technology，Shanghai Institute of Technical Physics，Shanghai 200083，China and Key Laboratory of Infrared System Detection and Imaging Technology，Shanghai Institute of Technical Physics，Shanghai 200083，China |
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| 摘 要： | 复杂背景下红外弱小目标检测与追踪技术一直是遥感成像应用领域一项复杂而艰巨的课题。利用高帧频红外面阵成像系统采集到图像的强帧间相关性特征，设计了一种多帧累加的时域信噪比的弱小目标检测方案。同时利用目标运动的连续性，采用多帧确认的方法关联目标，输出真实目标运动轨迹。实验结果表明，算法在vs2013上运行的平均运算时间为23 ms，检测到的目标最低信噪比为2.91，同时对多目标的检测具有较强的适应性。
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| 关 键 词： | 时域信噪比 多帧累加 红外弱小目标检测 多帧确认 |
| 收稿时间： | 2017/12/12 0:00:00 |
| 修稿时间： | 2018/3/28 0:00:00 |
Infrared small target detection algorithm based on spatial Signal to Noise Ratio |
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| LIU Yan,WANG Tao,CHEN Fansheng and SU Xiaofeng.Infrared small target detection algorithm based on spatial Signal to Noise Ratio[J].Journal of Terahertz Science and Electronic Information Technology,2019,17(1):118-123. |
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| Authors: | LIU Yan WANG Tao CHEN Fansheng and SU Xiaofeng |
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| Abstract: | Dim target detection in infrared image with complex background is always a complex and difficult task in remote sensing area. A spatial Signal-to-Noise Ratio(SNR) dim target detection scheme with multi-frame accumulation for high frame rate imaging system is designed. At the same time, according to the continuity of the target motion, the multi-frame confirmation method outputs the real target trajectory. The experiment shows that the average operation time of the algorithm on vs2013 is 23 ms, and it can effectively detect infrared dim target with SNR of 2.91. Otherwise the method has an adaption to multi-target detection. |
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