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ID:36566375
大小:3.71 MB
页数:65页
时间:2019-05-12
《基于遥感分类图的矢量化算法研究及应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、河南大学硕士学位论文基于遥感分类图的矢量化算法研究及应用姓名:王亚可申请学位级别:硕士专业:计算机应用技术指导教师:马骏20100501第1I页;.-I南大学硕士研究生学位论文多边形的生成速度。(3)把基于遥感分类图的矢量化算法应用到旱涝风灾害预防决策支持系统中,为系统中的缓冲分析、网络分析和叠加分析等空间分析功能进行基于矢量数据的空间分析提供了基础。关键词:遥感分类图;矢量化;共边“岛”;拓扑结构完整性;栅格数据AbstractRemotesensingdatais0neoftheimportan
2、tsourceofinformationinGISsystemandremotesensingapplications.Remotesensingclassificationmapisa5Peclaltypeofthec锄monlyusedremotesensingdata.InordertOkeeptheefficiency孤dpraCtlcallt),ofthesystem,GIShashighrequirementsfortheefficiencyofvectoraIgodthins锄dtop
3、ological姗c咖lintegrity.Remotesensingclassificationmapis锄importantintegrationmethodofRSandGIS.Duetoitsmanyshortcomings,fasterdata姗咖e,t0acertainext胁t'caIlnotmeettheneedsofGlS;however,vectordata1spreclseJytomakeupfortheseshortcomings.’IIladdition,tlleiIlte
4、鲈时oftopologyreconstructionandhighefficientVeCto卜raStercon.versionmetllodsc锄alsoprovideabetterwaytoensurethecombinationofGISa11dRS.Therefore,thevectorizationofremotesensingclassificationhaSgreatslgnificaIlceintheIntegrationofGISandRS.1llrecentyears,sev训
5、newmethodshaveappearedtoexpandtheideaofsolvlngsuchprobl锄s.胁terandVectormethodhasbeengreatlyimproved,butthere淝stillsomeimpe彘ctplaces.Inordertoenhancetheintegrityoftopologyrecons仃uctlon,tnlsarticlehasstudiedandimprovedthevectorizationoftheremotesensingcI
6、aSslncatlon0ntllebasisofthepreviousalgorithm.IthasputforwardakindofVectori·zationa190ri廿1n1basedonremotesensingclassification.Theal鲥嘶can姗IproVettleinte鲈时ofpoly90ntopologyinthevectoranditisappliedtodroughts锄dlloodanawinddisasterpreventiondecisionsupport
7、system·Themaincontentsareasfollows:(1)nanalyzestheCOreproblemofremotesensingclassificationmapVectorizaton,n锄elv'theclassificationmapandcomplexpolygons,andsmdiesthecomplexpolygonsbased0ntopologicalrelations.Inthepaper,itproposestheVectonzatlont0resolvem
8、ecomplexpolygonsinabetterway,especially,toresolvethosewhlchmcludetllesharillg.boundaryislands.Thesharing-boundaryislandsCallbetterdealwiththe第1V页河南大学硕士研究生学位论文remotesensingmapvectorizationalgorithm,whichfurtherimprovetopologicalstructura
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