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基于地面激光扫描点云数据和NURBS曲面的DEM重建(英文) Introduction DEM(DigitalElevationModel)isadigitalrepresentationoftheterrain'sshapeanditscorrespondingheightabovethesealevel.Intoday'sworld,thecombinationofadvancedtechnologieslikeLiDARandNURBShastransformedthewayresearchersgeneratehigh-qualityDEMs.Theabilitytocaptureandprocessalargevolumeofgroundinformationisessentialforaccurateandpreciseresults.Inthispaper,weexplorehowtouseground-basedLiDARdataandNURBSsurfacestogeneratehigh-qualityDEMs. Ground-basedLiDARandNURBS AsurfacemodelingtechniquewidelyadoptedinthecomputergraphicsfieldistheNon-UniformRationalBasisSpline(NURBS).NURBSisamathematicalrepresentationof3DobjectsandhassignificantadvantagesoverothersurfacemodelingtechniqueslikeBezier,B-Splines,andCatmull-Clark.NURBS'primaryadvantageisitsabilitytorepresentbothsimpleandhighlycomplexshapesefficiently. Ground-basedLiDARisanactiveremotesensingtechnologythatutilizeshigh-speedlaserbeamstocapturedata.Inaground-basedLiDARsystem,alaserismountedonatripodandrotatedin360degreestoscantheterrainsurface.Thelaseremitsabeamthattravelstothesurfaceandbouncesback,creatingapointcloudofx,y,andzcoordinatesforeachhit.Thesystemcancapturemillionsofpointsthatbuilda3Drepresentationofthescannedarea'ssurface. Ground-basedLiDARDEMreconstruction Ground-basedLiDARpointcloudsarelargeandhaveahighdegreeofnoise.Toextractvaluableinformationandeliminatenoise,thepointcloudneedstobeprocessed.Twocriticalprocessesinground-basedLiDARdataprocessingareregistrationandfiltering. Registrationistheprocessoftransformingdifferentpointcloudsintoasinglereferenceframe.Toachieveregistration,acommonreferencepointisrequired.Acommonreferencepointcanbeadistinctnaturalorartificialfeaturethatcanbeidentifiedinallthepointclouds.Inground-basedLiDAR,registrationcanbeachievedbyusingaseriesoftargetswithknowncoordinates.Targetscanbeartificialornaturalfeatures. Filteringistheprocessofeliminatingthenoise,outliers,andnon-groundfeaturesfromthepointclouddata.Thefilteringprocessisessentialinground-basedLiDARdat