摘要
为了易于判断态势目标航迹之间的关联及趋势,提出了一种基于航迹的目标群识别算法。对目标航迹进行向量化抽象,依据各目标航迹的起始、终止和转折等关键点,对多条航迹进行分组聚合,形成在位置、方向和走势3个方面相互关联的航迹聚合簇,并将聚合结果在态势图上进行可视化展现。该算法可为指挥员进行目标群和目标关联关系的识别与判断提供参考依据。
To be easy to judge the association and the trend among the tracks of the situation targets,a target group recognition algorithm based on the tracks is presented. The target tracks are abstracted into vectors. According to the key elements of each target track like the starting point,the ending point and the turning point,multiple tracks are aggregated in groups. Thus,a track aggregation cluster associated with each other from the position,the direction and the trend is formed. The aggregation results are also visualized on the situation map. The algorithm can provide reference for the commanders to recognize and to judge the associations among the target groups and the targets.
作者
郭婉
李彭伟
GUO Wan;LI Pengwei(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)
出处
《指挥信息系统与技术》
2021年第3期30-34,共5页
Command Information System and Technology
基金
装备发展部“十三五”预研课题资助项目。
关键词
目标群识别
航迹关联
航迹聚合
group identification
track aggregation
track association
