摘要
本文介绍一种自适应算法 ,通过候选目标轨迹检测、最大似然比优化算法和后处理等一系列操作 ,从已经抑制CN序列和UCN序列的低信噪比图像序列中自动识别在视场中做匀速直线运动的点目标 .文内给出了各项操作的理论分析和优化算法 ,实验结果证实了理论分析的正确性和自适应算法的可行性 .本算法可识别最低信噪比为0 .5 ,且对红外、可见光等不同种类图像序列兼容 ,优化算法可以大大降低数据处理量 .
Based on a series of operations such as detecting candidate target trajectories,the optimal algorithm of maximum likelihood ratio judgment and post processing,etc.,this paper presents a kind of adaptive algorithms that can automatically recognize the point targets making straight movement with uniform velocity in the field of view from low SNR image sequence in which CN and UCN sequences are all suppressed. The theoretical analyses and optimal algorithms of various kinds of operations are expounded in the paper. The experimental results have proved the correctness of theoretical analyses and the feasibility of the adaptive algorithms. The lowest distinguishable SNR is 0.5,and the optimal algorithms are compatible with infrared and television image sequences. The quantity of data processing can be also greatly reduced by the optimal algorithms.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2003年第8期1217-1221,共5页
Acta Electronica Sinica
基金
航天科技创新基金 (No HTCX0 1 - 1 1 )
关键词
自适应算法
目标轨迹
最大似然比
目标识别
图像序列
数据处理
优化算法
adaptive algorithms
target trajectories
maximum likelihood ratio
target recognition
image sequence
data processing
optimal algorithm
