序列图像中弱点目标的实时检测算法,是光学精确制导信息处理系统中的关键算法之一。首先对现有基于像素时域剖面分析的检测算法进行了简要的综述,然后根据不同像素的时域剖面模型对其时域方差变化特性进行了详细分析,提出了一种基于自适应递归方差滤波器的检测算法。对仿真时域序列与真实图像数据进行实验,结果表明该算法可实现检测弱点目标。考虑到该算法可并行、递归计算,因此它在实时制导系统中有良好的应用潜力。

Real-time detection algorithm for dim small moving target in image sequences is one of the key algorithms in optical image precise homing guidance systems.At first a brief introduction of current detection algorithms based on temporal profile analysis is addressed,and then noise and target's pixel temporal profile variance is thoroughly studied,finally a detection algorithm based on adaptive recursive variance filter(ARVF) is proposed.The designed algorithm can be used to improve the signal to noise ratio(SNR),so that the point target is easily segmented out.The results of simulated temporal sequences and real image data experiments show that the target(detection's) aim can be fully reached.The proposed algorithm can be implemented recursively and in parallel,which is practical for real-time homing guidance systems.The limitation of the algorithm and future work are also briefly discussed.