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Target Detection And Track Formation Of Inland River Vessels Based On Remote Snsing Data

Posted on:2020-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:J MaFull Text:PDF
GTID:2381330596973802Subject:Electronic and communication engineering
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ShippingsafetyissueshavealwaysbeenabigconcerninChina'sinlandwaterway shipping,andneedtobeaddressedandimproved.Intheexistinginlandwaterway transportationsystem,thetraditionalimagemonitoringsystem isusedtomonitorthe majorityoftheships.Inextremeweatherconditions,however,suchasystem failsto monitortheshipsinacontinuousandeffectivemannerduetoitstechnicallimitations.Inresponsetothisissue,theshore-basedradarsystem canbeusedtoobtainremote sensingdataoftheriversviaradarremotesensing,andrelevantsignalprocessing algorithmscanbedevelopedtobreakthroughsuchtechnicallimitations.Inthispaper,inlandwaterwayvesselshavebeenstudied.Remotesensingdataof UHFradarandrelevantsignalanddataprocessingalgorithmswereemployedto identify,detect,andstudythevesselsintheriversectionscoveredbyremotesensing.Theresearchresultswerethenusedtotrycorrelatingandrestoringvesseltrajectories.Theresearchresultshaveprovidedatheoreticalbasisandtechnicalsupportforriver vesselsintheirradarremotesensingtechnology.Themaininnovationpointsofthispaperareasfollows.1BasedontheriverremotesensingdataacquiredbyUHFshore-basedradarand theDopplerspectrumprincipleofriverechoes,therangeandvelocityinformationofthe targetshipisobtained.Thentwoalgorithmsofarraysignalprocessingareadoptedtoacquiretheship's azimuth.Finally,theship'strackisformedaccordingtotheintegratedship'sposition information.Atthesametime,thetrackdiagramsformedbythetwomethodsare comparedandanalyzed.2 According to theirregulartrajectoryformed,combined withthenavigation characteristicsoftheinland navigationand theexisting theoreticalmethods,the trajectorycorrectionmethodisproposed,andthecomparativesimulationflighttrack effectandrelatederrordataarecomparedandanalyzed.
Keywords/Search Tags:River remote sensing, Target detection, Track detection, Data fitting, Shipping safety
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