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1、TheResearchonFilteringMethodofTerrestrialThree-DimensionalLaserScanningPointCloudDataBasedonWaveletCandidate:JinJieSupervisor:Prof.TianYongruiChang’anUniversity,Xi’an,China摘要隨著計算機技術(shù)和測量自動化技術(shù)的高速發(fā)展,三維激光掃描技術(shù)在國內(nèi)的應用也日漸普及。由于三維激光掃描技術(shù)具有非接觸,高精度,高效率,自動化測量等多方面技術(shù)優(yōu)勢,該技術(shù)被廣泛的應用于各個領(lǐng)域,是科學技術(shù)和信息產(chǎn)業(yè)的又一次技術(shù)革新。但國內(nèi)對三
2、維激光掃描數(shù)據(jù)的處理研究還相對滯后,如何構(gòu)建出高精度的三維模型,迫切的需求一種自動化,可靠,快速的點云數(shù)據(jù)處理方法,以滿足高精度數(shù)據(jù)質(zhì)量的要求,也是很多學者研究的熱點。點云數(shù)據(jù)的預處理是數(shù)據(jù)處理過程中的關(guān)鍵步驟之一,點云數(shù)據(jù)的濾波是數(shù)據(jù)預處理階段重點和熱點問題,因此對地面三維激光掃描點云數(shù)據(jù)的濾波研究,形成較系統(tǒng)的地面三維激光掃描點云數(shù)據(jù)濾波理論是十分必要的。本文主要闡述了三維激光掃描技術(shù)及點云數(shù)據(jù)濾波理論國內(nèi)外的研究現(xiàn)狀和發(fā)展,根據(jù)點云數(shù)據(jù)的排列規(guī)則對其進行分類,對不同類型點云數(shù)據(jù)的常用濾波方法進行了分析,研究了小波分析和小波濾波的相關(guān)理論,本文采用了B樣條小波濾波的算法對點
3、云數(shù)據(jù)進行了濾波處理。利用GeomagicStudio軟件的濾波工具對同一組點云數(shù)據(jù)進行濾波處理,并與前一種濾波方法進行對比,對兩種濾波方法的結(jié)果進行了定量和定性的分析,經(jīng)試驗結(jié)果的分析表明B樣條小波濾波法取得了良好的濾波效果,能有效去除點云數(shù)據(jù)的噪聲,并有效的保持了地形特征。關(guān)鍵詞:三維激光掃描,點云數(shù)據(jù)濾波,小波分析,B樣條小波IAbstractWiththehigh-speeddevelopmentofcomputertechnologyandmeasurementautomationtechnology,3Dlaserscanningtechnologyindomest
4、icapplicationsareincreasinglypopular.Becauseof3Dlaserscanningtechnologywithnon-contact,highprecision,highefficiency,automaticmeasurementtechnologyadvantagesinmanyaspects,thistechnologyhasbeenwidelyappliedinvariousfields,isascienceandtechnologyandinformationindustry'stechnologicalinnovationon
5、ceagain.Butthedomesticresearchon3Dlaserscanningdataprocessingisrelativelylaggingbehind,howtobuildathree-dimensionalmodelofhighprecision,urgentlyneedsakindofautomation,reliable,fastpointclouddataprocessingmethod,inordertomeettherequirementsofhighprecisiondataquality,alsomanyscholarsresearchho
6、tspot.Pointclouddatapreprocessingisoneofthekeystepsintheprocessofdataprocessing,pointclouddatafilteringisthekeyandhotissuesdatapreprocessingphase,soonthesurfaceof3Dlaserscanningpointclouddatafiltering,formedthesystemofthegroundthree-dimensionallaserscanningpointclouddatafilteringtheoryisvery
7、necessary.Thisarticlemainlyelaboratedthe3Dlaserscanningtechnologyandpointclouddatafilteringtheoryresearchpresentsituationanddevelopmentathomeandabroad,accordingtotherulesofthearrangementofpointclouddatatoitsclassification,filteringmethodscommonlyus