基于动态开窗的快速运动目标信息获取方法

Fast motion target information acquisition method based on dynamic window opening

红外运动目标的轨迹预测在车辆、行人监控和天基遥感探测等军民用领域有着广泛的应用。当目标的相对运动速度较高时,受读出速率及积分时间固定的影响,传统全视场成像信息获取方法所得的目标轨迹点稀疏,难以满足目标轨迹预测的精度要求。针对以上问题,提出了一种基于动态开窗的快速运动目标信息获取方法。首先对观测区域进行全视场成像,捕获到运动目标后,对目标及其邻域开窗以提高成像帧频。通过分析探测场景辐射特性对系统工作参数的影响获取判别矩阵,实现开窗参数的动态调节,从而提升目标轨迹点密度。最后利用目标轨迹预测结果更新开窗位置以实现对单目标的全视场覆盖监测。实验结果表明,对于中波红外演示系统,与全视场成像信息获取方法相比,该方法将系统获取的目标轨迹点密度提高了16倍,系统轨迹预测精度提升了2.6倍,且所需的数据传输带宽降低了25%。该研究可为智能化红外感知系统的设计提供有益参考。

The trajectory prediction of infrared moving target is widely used in military and civilian fields such as monitoring and space-based remote sensing detection. When the relative velocity of the target is much higher,influenced by the fixed readout rate and integration time, the target trajectory points obtained by the traditional full field of view imaging information acquisition method are sparse, and it ’s difficult to meet the accuracy requirements of target trajectory predication. To address this problem, an information acquisition method for fast moving targets based on dynamic windowing(DW) was proposed. The observation area was first imaged with full field of view, and after capturing the moving target, the target and its neighbors were imaged with a window to increase the frame rate. The discriminant matrix was obtained by analyzing the influence of the radiation characteristics of the detection scene on the working parameters of the system, and the dynamic adjustment of the window opening parameters was realized and the density of target trajectory points was enhanced. Finally, the window openning position was updated using the target trajectory prediction results to achieve the full-field coverage monitoring of a single target. The experimental results show that for the mid-wave infrared demonstration system, the method increases the target trajectory point density by 16 times and the system trajectory prediction accuracy by 2.6 times compared with the full field of view imaging information acquisition method. And the required data transmission bandwidth is reduced by 25%. This study can provide useful reference for the design of intelligent infrared sensing systems.