城市地理空间数据更新机制和流程探究

2011291430079,430079P208:B:1672-4623(2011)01-0063-032010-07-2040801154/D01071999D.FRITSCHGISGIS[1]1999200219992004[2-5]20042005[6-7]11.11211DLGDOMDEM4D6413DLG3DEM1DOM3141.21DLGDLGDLG2DOM,3DEMDEMDEM411.31.411.2.3.11.52265DLGDOMDEMLiDAR2AccessOracleSQLServerFoxProDb2SybaseGB/T19710-2005,DLG200520061500015000OracleMapGIS,3[1]FritschD.GISDataRevision-visionsandReality[R].KeynoteSpeechinJointISPRSCommissionWorkshoponDynamicandMulti-dimensionalGIS.Beijing:NGCC,1999[2]MurrayK2002.ANewGeo-informationFrameworkforGreatBritain[J].FIGXXIIInternationalCongress,Washington,D.C.USA,2002419-26[3]RamirezJP.1998,RevisionofGeographicData-aFramework,GIS-betweenVisionsandApplications[J].InternationalArchivesofPhotogrammetryandRemoteSensing,Vol.32-B4,pp.487-493Stuttgart,Germany,200297-10[4].[J].2000,51-3[5].[J].200754-9[6].[J].2004326-29[7].[J].2005306105-10662[8]UlabyFTKouyateFBriscoB.TexturalInformationinSARIm-age[J].IEEETransactiononGeoscienceandRemoteSensing198624(2)235-245[9]ChewH,BogenerRandLM.DualC.V-supportVectorMachinewithErrorRateandTrainingSizeBeasing[J].ProceedingsofIEEEInt.Conf.onAcoustics,SpeechandSignaProcessing,2001:1269-1272[10]LinCandWanS.FuzzySupportVectorMachines[J].IEEETrans.onNeuralNetworks,2002,13(2):464-471SAR2andworkflowtechnologyresearching,theauthorproposedworkflow-basedGeoProcessingmodelingmethod.Andthenthroughtherealizationoflabora-torysitingverifiedthatitisfeasible.KeywordsGeoProcessingModel,Workflow,AutomatedModelingPage:39ApplicationofWebGIStotheDesignofManagementInformationSys-temoftheFruitIndustrybyLiujinAbstractBasedontheanalysisofthetechnologyandcharacteristicsofWeb-GIS,andthecurrentsituationoffruitproductionanditsmarketing,thethesisproposesappliedWebGIStechnologytoinformationmanagementofthefruitindustry.Inaddition,thethesisdesignedtheinformationmanagementsystemofthefruitindustryandprobesintothearchitectureandfunctionmodulesofin-formationmanagementsystemofmunicipalfruitindustrybasedonWebGIS.Keywordsthefruitindustry;WebGIS;informationmanagementPage:43ExperimentforModeling3DUrbanLandscapewithERDASandSke-tchUpbyChenSonglinAbstractOnthebasisofcomprehensivelyanalyzingtheperformanceofER-DASandSketchUpsoftware,workflowfor3DmodelingjointlywithERDASandSketchUpwasdesigned,somekeystepswereexploredandanalyzedinde-pth,and3DlandscapeofexperimentalareawassuccessfullyestablishedwithGeoye-1stereoimages.Theresultshowsthatmodeling3DurbanlandscapewithERDASandSketchUpisaneffectivemodelingprogram,whichcouldup-gradethedegreeofautomationandefficiencyof3Dmodeling,meettherequi-rementsof3Dmodelingwithdifferentlevels,providestrongsupporttoArcGISon3Dmodeling,andisworthtopromoteandapplyindigital3Dcityporjects.KeywordsERDAS,SketchUp,3Dcitymodeling,digitalcity,Geoye-1satellitePage:46OptimizationPracticeforTerrainDataStorageinOraclebyJiYuAbstractUsingOracleDatabase,ArcSDEandbasedArcGISdevelopmentofgeographicinformationsystemplatformforterraindatastorage,managementandupdate.TerrainDataStoragegenerateddatastoragefragmentationanddiskspaceutilizationrateproblem.Analysisoftheproblemsandfindsolutionstoreducedatastoragefragmentationandincreasediskspaceutilizationratealsoimprovetheperformanceofgeographicinformationsystemread-writedata.Keywordsdatafile,exp\imp,datarow,tablespace,datablockPage:50SummarizingtheDevelopmentofContinuousOperationalReferenceSystembyZengChaoAbstractAsisaresearchhighlightincurrentstudyofGlobalNavigationSat-ellitesSystem(GNSS),ContinuousOperationalReferenceSystem(CORS)re-presentsthedevelopmentdirectionofGNSS.Thispaperexpoundedtheprin-cipleandstructureofCORS,andstressedthemainpointssuchasVRS,coor-dinate-conversion,itsdevelopmentincludinghomeandabroad,existingprob-lemandresearchhighlight.KeywordsCORS,VRS,Coordinate-conversion,locationPage:53RemoteSensingImageEnhancementMethodBasedontheMatlabbyJiangFangAbstractResearchinremotesensingimages,imageenhancementtechnol-ogyforimprovedimagecontrast,highlightsomeofthelocaldetails,andsoplaysanactiverole.Thispaperdetailedthegrayscaletransform,theprovisionsofthehistogram,themedianfilter,Butterworthlow-passfilterandsoonmanykindsofimageenhancementofrealizationinMatlab,andonavarietyofme-thodstoachieveresults.Theresultshowedthattheabovemethodforimageenhancementcanexpandthepixelgrayscaledifferenceofgroundobject,andhelptotypicalfeatureextractioninEvergreenfeaturesetc.Keywordsremotesensingimage,imageenhancement,MatlabPage:57SingleObjectiveSegmentationofSARImagesBasedonSupportVec-torMachine(SVM)byHuangliangAbstract:Inthispaper,someSARimageStatisticsindicewereconsideredsuchasthelocalgraymean,varianceandthespatialdistributioncharacteris-ticsofpixel.Then,thetexturestatisticsfromGLCMwastakenasfeaturesandwasnormalized,forwhichfeatureselectionwascarriedon.Intheend,thesup-portvectormachinetrainingmodel(SVM)wasconstructed,thesegmentationwasachievedbySVM.Thismethodofclassificationwerecomparedwiththetraditionalmethodbytest,itshowedthatitwasmoreeffective.Keywords:SAR,imagesegmentation,GLCM,supportvectormachinesPage:60InquiryintoMechanismandProcessofUrbanGeo-spatialDataUpdatingbyBaiyiAbstractThec