一种空时域结合滤波的运动弱小目标检测方法

依据红外序列图像中弱小目标运动轨迹的连续性，提出一种空时域结合滤波的运动弱小目标检测算法．在分析弱小目标可能的运动轨迹的基础上，构造了一组滤波模板，利用这组模板对时域检测结果进行滤波，确定出弱小目标可能的运动轨迹．并进一步结合时域特征，对运动弱小目标进行累积增强．由于提出的方法充分考虑了序列图像中运动弱小目标的空时域特征，因此具有很好的检测性能．

Moving dim point target detection based on the spatial and temporal combined filter

The trajectories of dim point targets are always continuous in infrared image sequences. This can be used to improve the detection ability of the temporal based detection algorithms. In this paper, we present a spatial and temporal combined detection algorithm which utilizes both spatial and temporal information on moving dim point targets. Based on the analysis of the probable trajectories of moving dim point targets, a group of filter templates are constructed. And the trajectory of the dim moving target is obtained by using the constructed template to filter the temporal detection result. Also the target occurrence time in each pixel is extracted from the temporal based algorithm to further eliminate interference of the background. Since our new algorithm uses both spatial and temporal information on dim moving targets, it can have a better detection performance than the temporal based detection algorithm. Experiments with real infrared image sequences have proved the validity of the new approach.