红外图像序列中机动点目标的快速检测技术

本文针对红外自动寻的末制导系统提出了一种适合于检测星空背景下的远距离点目标的快速算法,它可用于检测静止不动、匀速运动和机动运动的点目标。该算法通过构造一个关于3D空间中数据集的轨迹表达的总代价函数将点目标轨迹提取问题转化成为总代价函数对目标参量的最优化问题,通过迭代算法实现这个最优化,文章证明了算法的收敛性,并估算了该检测算法的检测性能,实验表明该方法适合于小SNR时的点目标检测。

On the Detection of Maneuvering Point Targets from IR Image Sequence

A high speed detection algorithm for point targets at long range in the IR automatic homing system is discussed. It is suitable for the detection of stationary, non-maneuvering or maneuvering point target. By using an overall cost function for the expression of points in 3-D space with tracks, the problem of point target detection is transferred to the problem of the cost function optimization which can be implemented by an iteration algorithm. The convergency of the algorithm is proved. The output results of tracks extraction can be used to construct a non-linear detector. The approximate performance of the detector is also estimated. The experiment results have shown that the algorithm is also effective in the case of low SNR.