一种低信噪比条件下点目标检测方法

本文提出了一种低信噪比条件下从图像序列中检测点目标运动轨迹的新方法。基于目标运动轨迹的连续性，构造了一种准连续性滤波器结构，采用正向－反向二次滤波算法，有效地抑制了噪声的影响。在此基础上，依据待检目标运动轨迹的性质定义了一种目标函数，将轨迹检测问题转化成为寻找该目标函数最小值的问题。进而由Ａ算法在加权图中搜索最短路径以获取目标函数的最小值，从而确定点目标的运动轨迹。实验结果表明，该方法克服了以往算

A Method for Detection of Moving Pixel-Sized Target with Low SNR

A new method for detection of moving trajectory of pixel-sized target from a time sequence in high noise environments is presented in this paper. Based on the continuity of the moving trajectory of target, the structure of a quasi-continuity filter(QCF) is built. And a forwardbackward filter algorithm is used to filter most of noise pixels out effectively. Then the properties of trajectory are embedded in an objective function and the trajectory detection problem becomes the problem of minimizing the given objective function. Furthermore, A* algorithm can be used to solve a shortest path problem on a weighted graph to get the target moving trajectory. Finally, experiments will show the advantage of this method for detection of arbitrary target trajectories in high noise environments without the major drawback of limirted detectability wirthin the predefined trajectory set or massive computation that most other algorithms suffer from.