【摘要】 为了解决跟踪空中目标时背景云雾的干扰及目标大小和姿态变化带来的不利影响,提出了用于电视跟踪的一种双波门改进算法。该算法在双波门算法的基础上,加入动态阈值的判断,使之能快速、有效地去除背景云雾干扰,同时根据目标特征自适应调整内波门尺寸,避免因目标大小的剧烈变化导致的跟踪失败。利用视场内帧预测方法,较好地解决了目标丢失的问题。该算法通过半物理仿真实验进行验证,解决了云雾干扰、目标大小和姿态变化等不利影响问题,达到了系统实时性要求,实现了稳定跟踪。更多还原

【Abstract】 When weapon system was tracking targets in the sky, in order to solve problems of cloud disturbance and change of target size and posture,an advanced algorithm with the double windows was presented. On the basis of double windows, the algorithm can increase dynamic threshold to remove cloud disturbance effectively. The inner window size is changed adaptively according to target features so as to prevent weapon system from tracking fault. In addition, the algorithm can solve the problem of target losing by predictor. The algorithm is also validated by half-physics simulation test, it overcomes the disadvan-tages of cloud disturbance and change of target size and posture, and fulfils the tracking requirements of real-time property and stability.更多还原