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一种基于机载激光点云的电力线提取方法.docx

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一种基于机载激光点云的电力线提取方法 Title:AMethodforPowerLineExtractionBasedonAirborneLiDARPointCloud Abstract: Asthedemandforenergycontinuestogrow,theaccurateidentificationandmappingofpowerlinesisbecomingincreasinglyimportantforensuringthereliablesupplyofelectricityandmaintainingeffectivemaintenanceandmanagement.ThispaperproposesamethodforpowerlineextractionbasedonairborneLiDARpointclouddata.LiDARtechnologyprovideshigh-precisionthree-dimensionalinformation,makingitanidealtoolforpowerlineextraction.TheproposedmethodutilizesseveralimageprocessingandmachinelearningtechniquestoautomaticallydetectandclassifypowerlinesfromLiDARdata. 1.Introduction TheefficientandaccurateextractionofpowerlinesfromLiDARpointclouddataiscriticalforvariousapplications,suchasinfrastructureplanning,3Dcitymodeling,andemergencyresponse.Traditionalpowerlineextractionmethodsrelyonmanualinterpretationofaerialphotographsorsatelliteimages,whichistime-consumingandlabor-intensive.Incontrast,LiDARtechnologycanprovidehighlydetailedandaccurate3Dinformationoftheenvironment,includingpowerlines,whichcansignificantlyimprovetheefficiencyandaccuracyofpowerlineextraction. 2.Methodology 2.1DataAcquisition AirborneLiDARdataisacquiredusingLiDARsensorsmountedonplanesorhelicopters.TheLiDARsystememitslaserpulsestowardsthegroundsurface,andthereflectedsignalsarerecordedtogenerateapointclouddataset.TheresultingpointcloudcontainstheX,Y,andZcoordinatesoftheobjects,aswellasadditionalattributessuchasintensityandreturnnumber. 2.2Preprocessing Beforeextractingpowerlines,theLiDARpointclouddataispreprocessedtoremovenoise,groundpoints,andvegetation.Thisstepinvolvesfilteringalgorithmssuchastheprogressivemorphologicalfilteringandprogressivetriangulatedirregularnetworkfiltering. 2.3Segmentation Thepreprocessedpointcloudisthensegmentedintoindividualpointgroupsbasedongeometricandradiometricproperties.Thisstepaimstoseparatepowerlinesfromotherobjectsinthescene.Itutilizesclusteringalgorithmssuchasregiongrowingorgraph-cuttoidentifyline-likestructurescorres