摘要
本文提出了一种快速检测序列图像中低信噪比 (<2 )小目标的算法 .该算法采用小波滤波器对每帧图像滤波 ,提高目标的信噪比 ,剔除部分噪声点 ,降低了低信噪比小目标检测算法的运算量 ;设计了基于遗传算法的起始航迹搜索算法 ,有效地避免航迹的漏检 ;采用截断序贯似然比检验 ,形成确认航迹 .仿真结果表明应用此算法 ,可快速实现信噪比小于 2的小目标 (2× 2 )
A fast algorithm is proposed for tracking low observable small targets in a digital image sequences. Wavelet transforms are used for image filtering to improve SNR. Tentative tracks are formed based on genetic algorithms which avoid target tracks missing. Coding and genetic operation are designed for this problem. Target trajectories are confirmed by truncated sequential probability ratio test. The simulation results show that it can efficiently detect and track small targets with size as small as 2×2 and SNR<2.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2001年第4期439-442,共4页
Acta Electronica Sinica
基金
国防重点实验室基金
图像信息处理与智能控制教育部开放研究实验室基金! (No .TKL990 2 )
关键词
小波滤波
遗传算法
小目标检测
图像处理
Computer simulation
Genetic algorithms
Image processing
Signal detection
Signal filtering and prediction
Tracking (position)
Wavelet transforms
