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基于机载LiDAR数据和遥感影像的复杂建筑物提取.docx

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基于机载LiDAR数据和遥感影像的复杂建筑物提取 Title:ComplexBuildingExtractionusingAirborneLiDARdataandRemoteSensingImagery Abstract: WiththeincreasinguseofLiDAR(LightDetectionandRanging)technologyandremotesensingimagery,theaccurateextractionofcomplexbuildingsfromthesedatasetshasbecomeacrucialtask.ThispaperaimstoexploreandpresentanapproachforcomplexbuildingextractionusingairborneLiDARdataandremotesensingimagery.Theproposedmethodleveragesthestrengthsofbothdatasetstoimprovetheaccuracyandcompletenessofbuildingextraction. 1.Introduction(100words): TheextractionofcomplexbuildingsfromLiDARdataandremotesensingimageryhasnumerousapplicationssuchasurbanplanning,disastermanagement,andinfrastructuredevelopment.However,theextractionofcomplexbuildingsposeschallengesduetotheirintricateshapes,variableocclusions,anddiverseroofstructures.ThispaperaddressesthesechallengesandproposesanapproachthatcombinesLiDARdataandremotesensingimagerytoovercomelimitationsandimprovebuildingextractionaccuracy. 2.LiDARDataandRemoteSensingImagery(150words): LiDARdataprovidesaccurate3Dgeometricinformationofobjects,includingbuildings.Itcapturestheheight,shape,andstructureofbuildings,makingitsuitableforextractingcomplexbuildings.Ontheotherhand,remotesensingimagerycaptureshigh-resolutionvisualinformationoftheEarth'ssurface,includingbuildings.Combiningthesetwodatasetscanleadtomoreprecisebuildingextractionresults. 3.Methodology(400words): 3.1.Preprocessing: ThefirststepinvolvesthepreprocessingofbothLiDARdataandremotesensingimagery.Thisincludesdatacalibration,georeferencing,andradiometriccorrectiontoensureconsistencyandaccuracy. 3.2.BuildingDetection: UsingtheLiDARdata,buildingsareinitiallydetectedbyanalyzingtheelevationinformationandgeometricproperties.Thisstepidentifiespotentialbuildinglocationsforfurtherextraction. 3.3.FeatureExtraction: Inthisstep,remotesensingimageryisutilizedtoextractadditionalfeaturessuchastexture,color,andshapeinformationforeachpotentialbuildingfootprint.Imageclassificationtechniques,suchassupervisedorunsupe