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。

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.