視頻場景雜波背景移除技術研究.pdf

1、分類號UDC注1密級y839824學位論文(題名和副題名)張翔(作者姓名)指導教師姓名耋!懿趲(職務、職稱、學位、單位名稱及地址)申請專業(yè)學位級別亟專業(yè)名稱運垡皇焦星基纏論文提交日期20061學位授予單位和日期電壬科撞太堂答辯委員會主席評閱人——2006年1月日注1：注明‘國際十進分類法u)c》的類號。ABSTRACTThetargetdetectionandtrackingtechnologybasedonopticalsignalp

2、rocessingisoneofthemostimportanttechnologiesappliedinmanyadVanccdweaponsSincetheopticaldetectionandtrackingtechnologydeals謝th3Dspacetimesignalandisakindofpassivedetectiontechnologyithasalotoffeatures，suchasconcealment，an

3、tijammingandhi曲precisiontrackingperformanceAtpresen乞thepressurefrommilitaryandothersdemandsthattarget刪dbedetectedassoon鰱possibleandasfaraspossible，sothereareagreatofresearchinterestsinstudyingofthedetectionandtrackingtec

4、hnologyofdimpointmovingtargetfromimagesequenceThedimtargetdetectionandtrackingsystemcanbedividedintothreeparts，theimagepretreatmengthetargetdetectionandthetargettrackingBecauseoftheinfluenceofthewobbleof也esensorandtheclu

5、tterbackgroundthepretrea乜nentisnecessaryandalsoitstheresearchtrendofthisdissertation111emaincontributionofthedissertationisthewholesmdyingofthepretreatmenttechnologyofimagesequenceincludingdimpohmovingtargetInthisdissert

6、ation，theresearchtrendsfortheproblemhavebeenintroduced；the‘dim’and‘point’hasbeenstrictlydefinedinmathematicsfrommachinevisionandhumanvision；theidealcluttersuppressionsystembasedonclutterpredicationandtherealizationandeva

7、luationofevaluationindexhasbeenstudiedi11successionthecluttersuppressiontechnologieshavebeenresearchedFirstlytheclassicnonparametricalgorithmhasbeenanalyzedindetailandsystematicallyforit’sweaknessthatitcannotremovethenon

8、stationaryclutterideallyKalmanfilteralgorithmforcluttersuppressioniIl2DimagesignalhasbeenbuiltSecondlyFastAdaptiveKalmanFilterispresentedbasedollfastwidesensestationaryareaspartitionalgorithm：limitedcombinationanddivisio

9、nalgorithmbasedonquartitreealgorithm，newtaxisflterroutealgorithmwhichcanbreakthroughthelimitationofthenecessityofpixelneighborhoodof2DfilterandLaplacedatamodelwithtwoparameterswhichisperfectlysuitablefortheresidualimageo