HU Yong, LUO Wen, YU Zhaoyuan, FENG Linyao. Multi-mode Tensor Expression Model of Multidimensional Spatio-temporal Field Data[J]. Geomatics and Information Science of Wuhan University, 2015, 40(7): 977-982. DOI: 10.13203/j.whugis20130491
Citation: HU Yong, LUO Wen, YU Zhaoyuan, FENG Linyao. Multi-mode Tensor Expression Model of Multidimensional Spatio-temporal Field Data[J]. Geomatics and Information Science of Wuhan University, 2015, 40(7): 977-982. DOI: 10.13203/j.whugis20130491

Multi-mode Tensor Expression Model of Multidimensional Spatio-temporal Field Data

Funds: TheNationalNaturalScienceFoundationofChina,Nos.41231173,41201377;theNaturalScienceFundforColle gesandUniversitiesinJiangsuProvince,No.12KJD170003.
More Information
  • Author Bio:

    HU Yong: HUYong,PhDcandidate,lecturer,specializesincomputersystemarchitecture,computersystemandalgorithmdesign.;

  • Corresponding author:

    YUZhaoyuan,PhD,lecturer.

  • Received Date: September 16, 2013
  • Revised Date: July 04, 2015
  • Published Date: July 04, 2015
  • Theeffectivemanagementandanalysisofmultidimensionalspatio temporalfielddatawithincreasedquantityandcomplexityisabottleneckincurrentGIS.Thispaperintroducesatensorstruc turewithmultidimensionalunityandcoordinateindependencetoprovideamulti modetensorexpres sionmodelforspatio temporalfielddata.Werealizetensorconstructionforgeosciencesdataandde signdataandtaskflowsformultidimensionaltensordataanalysis.Themanagementandanalysisofmultidimensionalspatio temporalfielddataisaimedatdifferentapplicationcontexts;realizedinthepaperbydefiningthreekindsoftensordataexpressionandapplicationmodelsbasedonoriginalten sor,tensordecompositionandhierarchicaltensordecomposition,respectively;accordingtodifferentdatamanagementandanalysisneeds.Onthisbasis,wedesignedthetensor basedmulti modedataa nalysisframeworkandapplicationanalysistrafficflowtemplate.Weimplementedthesekeytechnolo gies,integratedtheminaprototypesystem,andtesteditsperformancebasedonthesatellitealtimetrymeasurements.Theresultsshowthatthisnewtypeoftensor basedmulti modeexpressionmodelcansupportthemanagement,analysisandstorageofmassivespatio temporalfielddata.Italsohasanad vantageformemoryspaceoccupancyandtheefficiencyofretrievalandanalysis.
  • [1]
    GuanX,WuH.LeveragingthePowerofMulti CorePlatformsforLarge ScaleGeospatialDataPro cessing:ExemplifiedbyGeneratingDEMfromMassiveLiDARPointClouds[J].犆狅犿狆狌狋犲狉狊牔犌犲 狅狊犮犻犲狀犮犲狊,2010,36(10):12761282[2] MillerHJ,HanJ.GeographicDataMiningandKnowledgeDiscovery[M].BocaRaton,FL:CRCPress,2009[3] LiQingquan,LiDeren.BigDataGIS[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,2014,39(6):641 644(李清泉,李德仁.大数据GIS[J].武汉大学学报·信息科学版,2014,39(6):641 644)[4] ZhangXiaoxiang.SpatialAnalysisintheEraofBigData[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,2014,39(6):655659(张晓祥.大数据时代的空间分析[J].武汉大学学报· 信息科学版,2014,39(6):655 659)[5] RewR,DavisG.NetCDF:AnInterfaceforScien tificDataAccess[J].犆狅犿狆狌狋犲狉犌狉犪狆犺犻犮狊犪狀犱犃狆 狆犾犻犮犪狋犻狅狀狊,犐犈犈犈,1990,10(4):7682[6] DuaneW,LivingstoneD,KiddD.IntegratingEn vironmentalModelswithGIS:AnObject orientedApproachUtilisingaHierarchicalDataFormat(HDF)DataRepository[J].犜狉犪狀狊犪犮狋犻狅狀狊犻狀犌犐犛,2000,4(3):263 280[7] BrownPG.OverviewofSciDB:LargeScaleArrayStorage,ProcessingandAnalysis[C].Proceedingsofthe2010ACMSIGMODInternationalConferenceonManagementofdata,ACM,Indianapolis,Indi ana,2010[8] BaumannP,DehmelA,FurtadoP,etal.TheMul tidimensionalDatabaseSystemRasdaman[J].犃犆犕犛犐犌犕犗犇犚犲犮狅狉犱,1998,27(2):575577[9] BermanF,ChienA,CooperK,etal.TheGrAD SProject:SoftwareSupportforHigh LevelGridApplicationDevelopment[J].犐狀狋犲狉狀犪狋犻狅狀犪犾犑狅狌狉狀犪犾狅犳犎犻犵犺犘犲狉犳狅狉犿犪狀犮犲犆狅犿狆狌狋犻狀犵犃狆狆犾犻犮犪狋犻狅狀狊,2001,15(4):327 344[10] HibbardB.ConfessionsofaVisualizationSkeptic[J].犃犆犕犛犐犌犌犚犃犘犎犆狅犿狆狌狋犲狉犌狉犪狆犺犻犮狊,2000,34(3):11 13[11] WhiteT.Hadoop:theDefinitiveGuideIncSebas topol[M].CA:O’ReillyMedia,2012[12] LiuXiaojun,XuZhengquan,PangShaoming.AMassiveSmallFileStorageSolutionCombinationofRDBMSandHadoop[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,2013,38(1):113 115(刘小俊,徐正全,潘少明.一种结合RD BMS和Hadoop的海量小文件存储方法[J].武汉大学学报·信息科学版,2013,38(1):113 115)[13] YuZhaoyuan,YuanLinwang,LuoWen,etal.Tensor basedTopographicalSpatial temporalFieldDataOrganizationandAnalysis[J].犚犲犿狅狋犲犛犲狀狊 犻狀犵犜犲犮犺狀狅犾狅犵狔犪狀犱犃狆狆犾犻犮犪狋犻狅狀,2012,27(5):699705(俞肇元,袁林旺,罗文,等.基于张量的地学时空场数据组织与分析方法[J].?屑际跤胗τ?2012,27(5):699 705)[14] KoldaTG,BaderBW.TensorDecompositionsandApplications[J].犛犐犃犕犚犲狏犻犲狑,2009,51(3):455 500[15] vanLoanC.FutureDirectionsinTensor BasedComputationandModeling[R].UnpublishedNSFWorkshopReport.5,Ottawa,Ontario,2009[16] HarshmanRA,LundyME.UniquenessProofforaFamilyofModelsSharingFeaturesofTucker’sThree modeFactorAnalysisandPARAFAC/CAN DECOMP[J].犘狊狔犮犺狅犿犲狋狉犻犽犪,1996,61:133154
  • Related Articles

    [1]CAI Xianhua, LIU Kaili, HU Zhuoliang, ZHANG Yuan. An Algorithm for Constructing Road Network Using Block Polygon Topology[J]. Geomatics and Information Science of Wuhan University, 2021, 46(8): 1170-1177. DOI: 10.13203/j.whugis20190348
    [2]YANG Wei, AI Tinghua. Extracting Arterial Road Polygon from OpenStreetMap Data Based on Delaunay Triangulation[J]. Geomatics and Information Science of Wuhan University, 2018, 43(11): 1725-1731. DOI: 10.13203/j.whugis20160294
    [3]ZHANG Hao, WU Fang, GONG Xianyong, XU Junkui, ZHANG Juntao. A Parallel Factor-Based Method of Arterial Two-Lane Roads Recognition[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1123-1130. DOI: 10.13203/j.whugis20150122
    [4]WANG Xiao, QIAN Haizhong, LIU Hailong, HE Haiwei, CHEN Jingnan. A Hierarchical and Iterative Road Network Matching Method by Using Road Classification[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1072-1078. DOI: 10.13203/j.whugis20140441
    [5]LIU Hailong, QIAN Haizhong, WANG Xiao, HE Haiwei. Road Networks Global Matching Method Using Analytical Hierarchy Process[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 644-651. DOI: 10.13203/j.whugis20130350
    [6]LI Fei, LUAN Xuechen, YANG Bisheng, LI Qiuping. Automatic Topology Maintenance Approach for High-level Road Networks[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 729-733. DOI: 10.13203/j.whugis20140115
    [7]LUAN Xuechen, YANG Bisheng, ZHANG Yunfei. Structural Hierarchy Analysis of Streets Based on Complex Network Theory[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 728-732.
    [8]LI Qingquan, ZENG Zhe, YANG Bisheng, LIBijun. Betweenness Centrality Analysis for Urban Road Networks[J]. Geomatics and Information Science of Wuhan University, 2010, 35(1): 37-41.
    [9]ZHU Qing, LI Yuan. Review of Road Network Models[J]. Geomatics and Information Science of Wuhan University, 2007, 32(6): 471-476.
    [10]DENG Hongyan, WU Fang, ZHAI Renjian. A Generalization Model of Road Networks Based on Genetic Algorithm[J]. Geomatics and Information Science of Wuhan University, 2006, 31(2): 164-167.
  • Cited by

    Periodical cited type(8)

    1. 高奎亮,刘冰,余旭初,余岸竹,孙一帆. 面向高光谱影像分类的网络结构自动搜索方法. 武汉大学学报(信息科学版). 2024(02): 225-235 .
    2. 崔林林,仙巍,柳锦宝. 产学研背景下遥感科学与技术专业”遥感原理与应用”实验教学改革探讨. 电脑与信息技术. 2023(01): 92-95 .
    3. 李杰,曾超,刘汇慧,李慧芳. 地学大数据背景下遥感课程的多阶段进阶混合式教学模式探索. 测绘通报. 2023(S2): 131-136 .
    4. 薛冰,赵冰玉,李京忠. 地理学视角下城市复杂性研究综述——基于近20年文献回顾. 地理科学进展. 2022(01): 157-172 .
    5. 桑国庆,唐志光,毛克彪,邓刚,王靖文,李佳. 基于GEE云平台与Sentinel数据的高分辨率水稻种植范围提取——以湖南省为例. 作物学报. 2022(09): 2409-2420 .
    6. 徐恩恩,郭颖,陈尔学,李增元,赵磊,刘清旺. 基于无人机LiDAR和高空间分辨率卫星遥感数据的区域森林郁闭度估测模型. 武汉大学学报(信息科学版). 2022(08): 1298-1308 .
    7. 孙玉梅,刘昱豪,边占新,孙亮,陈敬周. 深度学习PaddlePaddle框架支持下的遥感智能视觉平台研究与实现. 测绘通报. 2021(11): 65-69+75 .
    8. 陈晓峰. 光学遥感立体测绘技术及其发展趋势研究. 光源与照明. 2021(11): 69-71 .

    Other cited types(8)

Catalog

    Article views PDF downloads Cited by(16)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return