基于遗传搜索的低信噪比图像点目标跟踪算法
TRACKING DIM POINT-SOURCE TARGET IN IMAGE SEQUENCES WITH GENETIC ALGORITHM
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摘要: 该文提出了一种快速检测、跟踪序列图像中低信噪比(2)点目标的算法。该算法有机地结合了遗传算法与多级假设检验算法。仿真结果表明应用此算法,可快速实现信噪比小于2的点目标的检测与跟踪。文中根据低信噪比点目标检测的难点,设计了合适的编码方案,提出了合格个体保留法,选择了合适的遗传算子。Abstract: A fast algorithm is proposed for tracking low observable point-source targets of unknown position and velocity in a digital image sequence.It combines genetic algorithms and multistage hypothesis tracking method.The simulation results show that it can detect and track targets computational efficiently with SNR2.According to the difficulties of tracking point source targets with low SNR,coding and genetic operation are designed for this problem.Eligible points retaining as a new genetic operation is proposed here.
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Reed I S,Gagliardi R M,Stotts L B.Optical moving target detection with 3-D matched filtering IEEE Trans.on AES,1988,AES-24(1):327-336.[2]Blostein S D,Richardson H S.A sequential detection approach to target tracking.IEEE Trans. On AES,1994,AES-30(1):197-211.[3]Bar-Shalom Y.Multitarget Multisensor Tracking:Advanced Applications.MA:Artech House,1990,151-211.[4]陈国良，等.遗传算法及其应用.北京:人民邮电出版社,1996,第2章. -
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