简介:Intheautomationofidentificationoflandscapefeaturesthevaguenessarisesfromthefactthattheattributesandparametersthatmakeupalandscapevaryoverspaceandscale.Inmostofexistingstudies,thesetwokindsofvaguenessarestudiedseparately.Thispaperinvestigatestheircombinationinidentificationofcoastlandscapeunits.Fuzzysettheoryisusedtodescribethevaguenessofgeomorphicfeaturesduetothecontinuityinspace.Thevaguenessresultedfromthescaleofmeasurementisevaluatedbystatisticindicators.Thedifferencesoffuzzyobjectsderivedfromdataatdifferingresolutions(insizefrom3×3cellsto25×25cells)arestudiedinordertoexaminethesehigher-orderuncertainties.
简介:高分辨率图象熔化是图象处理的域里的一个重要焦点。一个新图象熔化模型基于实验模式分解(EMD)的典型水平被介绍。多光谱的图象的紧张色彩浸透(代表耶稣之符号)变换首先给紧张图象。此后,以ID的排列扩展,EMD建模的2DEMD被用来从高分辨率的乐队图象和紧张图象分解详细规模图象和粗糙的规模图象。最后,一幅熔化紧张图象被重建在熔化图象与高分辨率的图象的高频率和紧张图象和代表耶稣之符号反的变换结果的低频率获得。在介绍EMD原则以后,2DEMD的一个多尺度的分解和重建算法被定义,一个熔化技术计划基于EMD是先进的。全色的乐队和多光谱的乐队3,2,1Quickbird被用来估计熔化算法的质量。在在特定的排(列)上根据EMD分析为兼并选择适当内在的模式函数(IMF)以后,象素灰色珍视系列,熔化计划给一幅熔化图象,它与通常使用的熔化算法相比(小浪,代表耶稣之符号,Brovey)。图象熔化的目的包括提高图象的可见性并且改进空间分辨率并且光谱原来的图象的信息。为了估计一幅图象的质量,在熔化,信息熵和标准差被使用估计熔化图象和相关系数的空间细节以后,为测量在原来的图象和熔化图象之间的失真以偏导索引和变弯的度光谱信息。为建议熔化算法,当EMD算法被用来执行熔化经验时,更好的结果被获得。
简介:Thispaperpresentsthebasicconceptsandprinciples,datastructureandhighefficientspatialindexformulti-resolutionimagedatabase.Thedatabaseischaracterizedbyarrangementofmulti-resourceimagedataandseamlessmosaic,distribution-basedstorageandmanagement,integrationwithotherspatialdatabasesoftwaresuchasGeoStarandGeoGriddevelopedbyWuhanTechnicalUniversityofSurveyingandMapping.
简介:Automaticgeneralizationofgeographicinformationisthecoreofmulti-scalerepresentationofspatialdata,butthescale-dependentgeneralizationmethodsarefarfromabundantbecauseofitsextremecomplicacy.Thispaperputsforwardanewconsistencymodelaboutscale-dependentrepresentationsofreliefbasedonwaveletanalysis,anddiscussesthethresholdsinthemodelsoastoacquirethecontinualrepresentationsofreliefwithdifferentdetailsbetweenscales.Themodelnotonlymeetstheneedofautomaticgeneralizationbutalsoisscale-dependentcompletely.Somepracticalexamplesaregiven.
简介:Thispaperpresentsadatafusionmethodindistributedmulti-sensorsystemincludingGPSandINSsensors'dataprocessing.First,aresidualχ2-teststrategywiththecorrespondingalgorithmisdesigned.Thenacoefficientmatricescalculationmethodoftheinformationsharingprincipleisderived.Finally,thefederatedKalmanfilterisusedtocombinetheseindependent,parallel,real-timedata.Apseudolite(PL)simulationexampleisgiven.
简介:Thispaperdevelopsawide-bandmulti-spectralspaceforcolorrepresentationwithAitkenPCAalgorithm.Thisnovelmathematicalspaceusingthebroad-bandspectramatchingmethodaimsatimprovingtheaccuracyofcolorrepresentationaswellasreducingcostsforprocessingandstoringmulti-spectralimages.Theresultsshowthatthespacecanpresentourexperimentaloriginalspectralspaces(i.e.MunsellcolormattandDIN-6164colorchips)withhighefficiency,andthatthespanningspacewiththreeeigenvectorscanpresenttheoriginalspaceatmorethan98%CSCR,andwhen5eigenvectorsareuseditcancoveralmostthewholeoriginalspaces.
简介:Thispapermakesastudyontheinteractivedigitalgener-alization,wheremapgeneralizationcanbedividedintointellectivereason-ingprocedureandoperationalproce-dure,whicharedonebyhumanandcomputer,respectively.Andaninter-activemapgeneralizationenvironmentforlargescaletopographicmapisthendesignedandrealized.Thisresearchfocuseson:①thesignificanceofre-searchinganinteractivemapgenerali-zationenvironment,②thefeaturesoflargescaletopographicmapandinter-activemapgeneralization,③thecon-structionofmapgeneralization-orien-teddatabaseplatform.
简介:Onthebasisofathoroughunderstandingofthephysicalcharacteristicsofremotesensingimage,thispaperemploysthetheoriesofwavelettransformandsignalsamplingtodevelopanewimagefusionalgorithm.ThealgorithmhasbeensuccessfullyappliedtotheimagefusionofSPOTPANandTMofGuangdongprovince,China.Theexperimentalresultsshowthataperfectimagefusioncanbebuiltupbyusingtheimageanalyticalsolutionandre-constructionintheimagefrequencydomainbasedonthephysicalcharacteristicsoftheimageformation.Themethodhasdemonstratedthattheresultsoftheimagefusiondonotchangespectralcharacteristicsoftheoriginalimage.
简介:这份报纸为为在不同网络系统和大楼结构之间的互相依赖建模描述一个框架。它由描述一个框架为基础结构互相依赖和他们的复杂行为建模并且模仿为内部大楼实用程序的综合分析提供一条途径。支持能使用象提供内部实用程序的地点和说明给一个技术员那样的格,这是想要动一个维护手术的一个基于图的空间模型。这个地点能为维护或代替被需要,或在另一个实用程序网络上组织调查大楼的损坏的结果,或沿着实用程序服务系统在不同地点估计不同维护操作的效果。模型说明二个重要方面:首先,在内部实用程序之间的关系和大楼元素或空格和秒,实用程序联网到的造的层次结构被联系。大楼的一个合适的层次被开发它支持对内部实用程序的面向人的描述的产生,在为象一个方法一样的大大楼元素和空格的分区的一个方法被开发引用一个网络元素到另一座大楼的地方。不同实用程序网络系统和大楼的连接用关节被产生,它基于一种抑制关系。一个例子被举它为支持在维护操作地点和另外的网络系统之间的维护操作,以及独立显示出这条途径的有效性。纸论述数据模型并且与造模型标准的当前的3D解释连接。
简介:ItiswellknownthatLandsatTMimagesarethemostwidelyusedremotesensingdatainvariousfields.Usually,ithas7differentelectromagneticspectrumbands,amongwhichthesixthonehasmuchlowergroundresolutioncomparedwiththeothersixbands.Nevertheless,itisusefulinthestudyofrockspectrumreflection,geo-thermalresourcesexploration,etc.ToimprovethegroundresolutionofTM6tothelevelasthatoftheothersixbandsisaproblem.Thispaperpresentsanalgorithmbasedonthecombinationofmulti-variateregressionmodelwithsemi-variogramfunctionwhichcanimprovethegroundresolutionofTM6by"fusing"thedataofothersixbands.Itincludesthefollowingmainsteps:(1)testingthecorrelationbetweenTM6andoneofTM1-5,7.IfthecorrelationcoefficientbetweenTM6andanotheroneisgreaterthanagiventhresholdvalue,thenselectthebandtotheregressionanalysisasanargument.(2)calculatingthesizeofthetemplatewindowwithinwhichsomeparametersneededbytheregressionmodelwillbecalculated;(3)replacingtheoriginalpixelvaluesofTM6bythoseobtainedbyregressionanalysis;(4)usingimageentropyasameasurementtoevaluatethequalityofthefusedimageofTM6.ThebasicmechanismofthealgorithmisdiscussedandtheVC++programforimplementingthisalgorithmisalsopresented.Asimpleapplicationexampleisgiveninthelastpartofthispaper,showingtheeffectivenessofthealgorithm.