[1]
|
LiJunli,Sheng Yongwei,LuoJiancheng.Auto maticExtractionofHimalayan GlacialLakeswithRemoteSensing[J].犑狅狌狉狀犪犾狅犳 犚犲犿狅狋犲犛犲狀狊犻狀犵,2011,15(1):29 43(李均力,盛永伟,骆剑承.喜马拉雅山地区冰湖信息的遥感自动化提取[J].遥感学报,2011,15(1):29 43)[2] LuoJiancheng,ShengYongwei,ShenZhanfeng,etal.AutomaticandHigh preciseExtractionforWa terInformationfrom MultispectralImageswiththeStep by stepIterative Transformation Mechanism[J].犑狅狌狉狀犪犾狅犳 犚犲犿狅狋犲犛犲狀狊犻狀犵,2009,13(4):610 615(骆剑承,盛永伟,沈占锋,等.分步迭代的多光谱遥感水体信息高精度自动提取[J].遥感学报,209,13(4):610 615)[3] XiangYimin,WangLeqiu,ChenJuhua.RealizationofEngineeringDrawingVectorizationandConnec tionTechnology[J].犃犆犜犃犛犮犻犲狀狋犻犪狉狌犿 犖犪狋狌狉犪犾犻狌犿 犝狀犻犲狉狊犻狋犪狋犻狊犛狌狀狔犪狋狊犲,2003,42(2):113 115(项益民,王乐球,陈炬桦.工程图矢量化和拼接技术的实现[J].中山大学学报(自然科学版),2003,42(2):113 115)[4] ZhangChengcai,JiGuanghui,ChenJunbo,etal.A MethodofLogicalJoinof Multi sheet DigitalMapsBasedonArcGISandAutoCAD[J].犑狅狌狉狀犪犾狅犳犣犺犲狀犵狕犺狅狌 犝狀犻狏犲狉狊犻狋狔(犈狀犵犻狀犲犲狉犻狀犵犛犮犻犲狀犮犲),562 第40卷第4期 沈占锋等:批量遥感影像湖泊提取后的矢量拼接策略问题2007,28(1):118 121(张成才,季广辉,陈俊博,等.一种基于ArcGIS和AutoCAD的数字地图拼接方法[J].郑州大学学报(工学版),2007,28(1):118 121)[5] Zhang Ying,Wang Rongfeng,Liao Xuejun.Re searchon AutomaticJointing of Massive SpatialLineVectors[J].犑狅狌狉狀犪犾狅犳犆狅犿狆狌狋犲狉犃狆狆犾犻犮犪狋犻狅狀狊,2009,29(12):222 225(张赢,汪荣峰,廖学军.海量空间线矢量自动拼接研究[J].计算机应用.2009,29(12):222 225)[6] ChaiHuaqi,YuanNing,ZhaoXuejun.TheArith meticResearchofDigitalMapSpeedinessManageinGeographyInformationSystem Basedon WGS 84[J].犑狅狌狉狀犪犾狅犳 犖狅狉狋犺狑犲狊狋 犝狀犻狏犲狉狊犻狋狔(犖犪狋狌狉犪犾犛犮犻犲狀犮犲犈犱犻狋犻狅狀,2008,38(2):111 115(柴华奇,袁宁,赵学军.基于WGS 84的GIS数字地图快速处理算法[J].西北大学学报(自然科学版),2008,38(2):111 115)[7] RosaD,PlonkaG.UniformSphericalGridsviaE qualAreaProjectionfromtheCubetotheSphere[J].犑狅狌狉狀犪犾狅犳 犆狅犿狆狌狋犪狋犻狅狀犪犾 犪狀犱 犃狆狆犾犻犲犱犕犪狋犺犲犿犪狋犻犮狊,2011,236:1033 1041[8] ShenZhanfeng,LuoJiancheng,Chen Qiuxiao,etal.Data Partition Policy of High resolution Re motelySensedImageParallelProcessing[J].犑狅狌狉狀犪犾狅犳 犎犪狉犫犻狀犐狀狊狋犻狋狌狋犲狅犳 犜犲犮犺狀狅犾狅犵狔,2006,38(11):1968 1973(沈占锋,骆剑承,陈秋晓,等.高分辨率遥感影像并行处理数据分配策略研究[J].哈尔滨工业大学学报,2006,38(11):1968 1973)[9] ShenZF,LuoJC,Wu W.A New ApproachtoImprovetheCluster basedParallelProcessingEffi ciencyofHigh Resolution RemotelySensedImage[J].犑狅狌狉狀犪犾狅犳狋犺犲犐狀犱犻犪狀 犛狅犮犻犲狋狔 狅犳 犚犲犿狅狋犲犛犲狀狊犻狀犵,2012,40(3):357 370犞犲犮狋狅狉犇犪狋犪犝狀犻狅狀犘狅犾犻犮狔狅犳犔犪犽犲狊犈狓狋狉犪犮狋犲犱犳狉狅犿 犕狌犾狋犻犚犲犿狅狋犲犾狔犛犲狀狊犲犱犐犿犪犵犲狊犛犎犈犖犣犺犪狀犳犲狀犵1 犔犐犑狌狀犾犻2 犡犐犃犔犻犲犵犪狀犵1 犠犝 犠犲犻3 犔犝犗犑犻犪狀犮犺犲狀犵11 InstituteofRemoteSensingandDigitalEarth,CAS,Beijing100101,China2 XinjiangInstituteofEcologyandGeography,CAS,Urumqi830011,China3 CollegeofComputerScienceandTechnology,ZhejiangUniversityofTechnology,Hangzhou310014,China犃犫狊狋狉犪犮狋:Efficiencyisanimportantissuethatmustbeconsideredintheunionprocessoftheregionalvectordata.Afterthevectorizationoftheremotesensingimagesoflakesextractionresult,theextrac tedlakesfrommulti sceneimagesshouldbemergedtoalakesthematicmap,anddifferentunionpoli cieswilldirectlydeterminetheefficiencyoftheregionallakedataunion.Focusedonthekeytechniqueofvectordataunionandlakethematicmapproduction,thispaperfirstlyanalyzesthepremiumunionpolicyfortwoscenevectordata,thentwodifferentunionpoliciesformultiscenevectordataarepro posed,thatis,thepolicybasedontaskqueueandthepolicybasedonintervalselection.Further more,thecharacteristicsofbothpoliciesarethenanalyzedandwecanselectdifferentpoliciesforthedifferentsituationssoastogainmoreefficiency.犓犲狔狑狅狉犱狊:vectordataunion,lakes,policy,policybasedontaskqueue,policybasedonintervalse lection犉犻狉狊狋犪狌狋犺狅狉:SHENZhanfeng,PhD,professor,specializedintheremotesensingimageinformationextractionandanalysis,high per formanceimagecomputing.E mail:shenzf@irsa.ac.cn犉狅狌狀犱犪狋犻狅狀狊狌狆狆狅狉狋:TheNationalHighTechnologyResearchandDevelopmentProgramofChina(863Program),No.2013AA12A401;theNationalKeyTechnologySupportProgram,Nos.2012BAH33B01,2011BAH06B02;NSFCUnitedFoundation,No.U1178302. |