基于遺傳搜索的低信噪比圖像點目標跟蹤算法
TRACKING DIM POINT-SOURCE TARGET IN IMAGE SEQUENCES WITH GENETIC ALGORITHM
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摘要: 該文提出了一種快速檢測、跟蹤序列圖像中低信噪比(2)點目標的算法。該算法有機地結合了遺傳算法與多級假設檢驗算法。仿真結果表明應用此算法,可快速實現(xiàn)信噪比小于2的點目標的檢測與跟蹤。文中根據(jù)低信噪比點目標檢測的難點,設計了合適的編碼方案,提出了合格個體保留法,選擇了合適的遺傳算子。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]陳國良，等.遺傳算法及其應用.北京:人民郵電出版社,1996,第2章. -
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