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tomaticRegistrationofUrbanAerialImagerywithAirborneLiDARData[J].犑狅狌狉狀犪犾狅犳犚犲犿狅狋犲犛犲狀狊犻狀犵,2012,16(3):587 595(张永军,熊小东,沈翔.城区机载LiDAR数据与航空影像的自动配准[J].遥感学报,2012,16(3):587 595)[13]TianJiaojiao,CuiShiyong,ReinartzP.BuildingChangeDetectionBasedonSatelliteStereoImageryandDigitalSurfaceModels[J].犐犈犈犈犜狉犪狀狊犪犮狋犻狅狀狊狅狀犌犲狅狊犮犻犲狀犮犲狊犪狀犱犚犲犿狅狋犲犛犲狀狊犻狀犵,2013,99:1 12[14]MuChao,YuJie,XuLei,etal.ResearchonEx tractingBuildingPointsfromtheDSM DataCombi ningtheHigh resolutionRemoteSensingImage[J].犌犲狅犿犪狋犻犮狊犪狀犱犐狀犳狅狉犿犪狋犻狅狀犛犮犻犲狀犮犲狅犳犠狌犺犪狀犝狀犻狏犲狉狊犻狋狔,2009,34(4):414 417(穆超,余洁,许磊,等.基于高分辨率遥感影像的DSM建筑物点的提取研究[J].武汉大学学报·信息科学版,2009,34(4):414 417)[15]TanKun,DuPeijun.HyperspectralRemoteSens ingImageClassificationBased OnSupportVectorMachine[J].犑狅狌狉狀犪犾狅犳 犐狀犳狉犪狉犲犱犪狀犱 犕犻犾犾犻犿．犠犪狏犲狊,2008,27(2):123 128(谭琨,杜培军.基于支持向量机的高光谱遥感图像分类[J].红外与毫米波学报,2008,27(2):123 128)[16]TianJ,Chaabouni Chouayakh H,ReinartzP,etal.Automatic3DChangeDetectionBasedonOpticalSatel liteStereoImagery[C].ISPRSTC VIISymposium 100YearsISPRS,Vienna,Austria,2010459武 汉 大 学 学 报 · 信 息 科 学 版2015年4月3犇犅狌犻犾犱犻狀犵犆犺犪狀犵犲犇犲狋犲犮狋犻狅狀犫狔犆狅犿犫犻狀犻狀犵犔犻犇犃犚犘狅犻狀狋犆犾狅狌犱狊犪狀犱犃犲狉犻犪犾犐犿犪犵犲狉狔犘犈犖犌犇犪犻犳犲狀犵1 犣犎犃犖犌犢狅狀犵犼狌狀1 犡犐犗犖犌犡犻犪狅犱狅狀犵11 SchoolofRemoteSensingandInformationEngineering,WuhanUniversity,Wuhan,430079,China犃犫狊狋狉犪犮狋:Astheelevationinformationisnotconsideredinthetraditionalbuildingchangedetectionmethods,thispaperpresentsanalgorithmofcombiningLiDARdataandaerialimageryforthe3Dbuildingchangedetection.Withtheproposedmethod,wecanextractboththeelevationchangeinfor mationandtheareachangeinformationofthebuildingsatthesametime.Firstly,twoDSMsaregen eratedusingtwoperiodsofLiDARdata.Secondly,differencing,filteringandmorphologicalopera tionsareperformedtogetthechangedDSMarea,whichisthenprojectedontotheaerialimagesac cordingtothecollinearityequations.Afterthat,theinterferenceofthepseudo changingareassuchastreesisremovedusingspectrumandtextureinformationofaerialimage.Finally,thevalueofeleva tionchangesandareachangesarecalculated.Experimentalresultsshowthattheproposedalgorithmcanextractthechangeinformationoftheelevationandareaquantitatively,whichcanprovidemorecomprehensiveandaccurateinformationforthebuildingchangedetection.犓犲狔狑狅狉犱狊:LiDARPointClouds;DSM;AerialImagery;3DBuildingChangeDetection;ElevationChange;AreaChange犉犻狉狊狋犪狌狋犺狅狉:PENGDaifeng,PhDcandidate,specializesinchangemonitoringapplicationsofsatelliteimages.E mail:daifeng@whu.edu.cn犆狅狉狉犲狊狆狅狀犱犻狀犵犪狌狋犺狅狉:ZHANGYongjun,PhD,professor.E mail:zhangyj@whu.edu.cn犉狅狌狀犱犪狋犻狅狀狊狌狆狆狅狉狋:TheNationalNaturalScienceFoundationofChina,檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪No.41171292.(上接第448页)犃 犕犲狋犺狅犱犳狅狉犃狌狋狅犿犪狋犻犮犪犾犾狔犇犲狋犲狉犿犻狀犻狀犵犘犪狉犪犾犾犪狓狅犳犐犿犪犵犲犕犪狋犮犺犻狀犵犅犪狊犲犱狅狀犔犪狔犲狉犲犱犉犕犘犺犪狊犲犆狅狉狉犲犾犪狋犻狅狀犠犈犐犆犺狌狀狋犪狅1,2 犣犎犃犖犌犣狌狓狌狀3 犣犎犃犖犌犑犻犪狀狇犻狀犵3 犠犝犘犻狀犵2,41 SchoolofCivilEngineeringandArchitecture,ChongqingJiaotongUniversity,Chongqing400074,China2 CollegeofGeomaticsandGeoinformation,GuilinUniversityofTechnology,Guilin541004,China3 SchoolofRemoteSensingandInformationEngineering,WuhanUniversity,Wuhan430079,China4 FujianProvincialGeomaticsCenter,Fuzhou35001,China犃犫狊狋狉犪犮狋:Automaticdeterminationoftheinitialparallaxisakeytechnologyofautomaticimagematc hing.Thepreviousmethodsfordeterminationoftheinitialparallaxareanalyzedandsummarizedinthepaperfirst,andthenanovelmethod,calledlayeredFM phasecorrelation,isproposed.ThismethodisbasedonFourier Mellintransformtheoryincombinationwithlayeringmatchingandphasecorrelationtechniques.Themethodiscapableofobtaininghigh precisionofinitialparallaxautomati callyandefficientlywithouthumaninterventionandotherauxiliarydata.Thevalidityofthemethodisconductedbyexperimentsontheseveraltypicalimagepairs.犓犲狔狑狅狉犱狊:imagematching;initialparallax;phasecorrelation;Fourier Mellintransform犉犻狉狊狋犪狌狋犺狅狉:WEIChuntao,PhD,professor,specializesintheresearchofprocessingandapplicationofremotesensingimage.E mail:gxglwctl@163.com犉狅狌狀犱犪狋犻狅狀狊狌狆狆狅狉狋:TheNationalNaturalScienceFoundationofChina,Nos.41171351,41162011;GuangxiNaturalScienceFounda tion,Nos.2014GXNSFDA118038,2012GXNSFBA053131.
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