摘要
低时间分辨率遥感成像观测使得合适的目标运动模型难以建立 ,目标的运动状态变量无法准确估计 ,造成基于Kalman滤波等运动状态估计算法的经典多目标关联算法不再适用。该文针对该问题提出了一种基于目标属性特征的多假设关联算法 ,以目标的属性特征作为关联的基本参量 ,衡量观测到航迹的匹配程度。仿真实验结果证明 。
With low temporal resolution remote sensing images, the targets' kinematic models can't be built up accordingly and kinematic states can't be estimated accurately. Therefore, the classic algorithms used to associate multiple targets based on Kalman filtering algorithm are no more effective. To resolve the problem, a multiple hypothesis association algorithm based on targets' attribute data is put forward in this paper. The experiments show the algorithm is effective.
出处
《计算机仿真》
CSCD
2005年第1期76-79,83,共5页
Computer Simulation
基金
国防"十五"预研项目"航天监测战术态势信息综合与作战应用研究"( 4 13 2 2 0 10 4)
关键词
遥感
目标关联
多假设
时间分辨率
Remote sensing
Target association
Multiple hypotheses
Temporal resolution
