摘要
为了解决星载光电跟踪系统对连续帧图像快速识别、准确定位的要求.在深入分析连续图像序列特性和星载光电跟踪系统特点的基础上,利用光电跟踪系统转台的角度变化信息,对图像序列进行帧间差值运算以获得目标残差图,并基于残差图和原始图像信息提出了一种新的目标识别定位算法,大大地减小了运算量.结合中值滤波和自适应波门跟踪算法,实现了运动目标的快速跟踪定位.通过对目标实测图像序列的实验,结果证明,该算法具有快速、稳定等优点,能满足星载光电跟踪系统实时图像跟踪的要求.
To meet the demand of space-borne electro-optical tracking system, a fast identification and location algorithm was required. According to the characteristics of space-borne electro-optical tracking system and series image, fast image difference computing method based on angle changes of space-borne electro-optical tracking system was found, with calculation much reduced. After median filtering and adaptive threshold tracking algorithm, precision location for targets accomplished. Experiment results show that it is a fast stable algorithm and satisfied a real-time tracking in space-borne electro-optical tracking system.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2009年第1期220-223,共4页
Acta Photonica Sinica
基金
广西信息与通讯技术重点实验室(10907)
桂林电子科技大学博士基金资助
关键词
星载光电跟踪系统
连续帧图像
图像处理算法
自适应波门
Space-borne electro-optical tracking system
Series image
Arithmetic image processing
Adaptive gate
