简介：Thispaperpresentsthebasicconceptsandprinciples,datastructureandhighefficientspatialindexformulti-resolutionimagedatabase.Thedatabaseischaracterizedbyarrangementofmulti-resourceimagedataandseamlessmosaic,distribution-basedstorageandmanagement,integrationwithotherspatialdatabasesoftwaresuchasGeoStarandGeoGriddevelopedbyWuhanTechnicalUniversityofSurveyingandMapping.

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：这研究试图在极的运动上学习大气、海洋的刺激的影响。电源光谱密度分析大气、海洋的刺激的效率不仅在不同频率而且在retrograde和与其他天体作同方的部件不同的表演，但是大气、海洋的刺激的和与观察刺激显示出最好的协议。

简介：Intheautomationofidentificationoflandscapefeaturesthevaguenessarisesfromthefactthattheattributesandparametersthatmakeupalandscapevaryoverspaceandscale.Inmostofexistingstudies,thesetwokindsofvaguenessarestudiedseparately.Thispaperinvestigatestheircombinationinidentificationofcoastlandscapeunits.Fuzzysettheoryisusedtodescribethevaguenessofgeomorphicfeaturesduetothecontinuityinspace.Thevaguenessresultedfromthescaleofmeasurementisevaluatedbystatisticindicators.Thedifferencesoffuzzyobjectsderivedfromdataatdifferingresolutions(insizefrom3×3cellsto25×25cells)arestudiedinordertoexaminethesehigher-orderuncertainties.

简介：放精确的GPS被GPS搬运人阶段观察的各种各样的错误来源，和传统的联合影响有他们的自己的限制例如宽小巷，狭窄小巷并且ionospheric免费的联合。获得最佳的放精确，一个新线性组合方法通过放的精确的GPS多频率搬运人阶段联合方程，和影响的变化协变性(VCV)被探讨与变化误差传播定律推出的观察错误被分析。为与一仅仅搬运人阶段联合放的高精确，最佳的联合方法被基线分辨率的一个例子与60km长度推出并且进一步验证了。结果显示这个方法最简单，并且放的精确是最好。因此，在各种各样的远处为不同精确要求放，快为长基线是有用的。

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：Onthebasisofathoroughunderstandingofthephysicalcharacteristicsofremotesensingimage,thispaperemploysthetheoriesofwavelettransformandsignalsamplingtodevelopanewimagefusionalgorithm.ThealgorithmhasbeensuccessfullyappliedtotheimagefusionofSPOTPANandTMofGuangdongprovince,China.Theexperimentalresultsshowthataperfectimagefusioncanbebuiltupbyusingtheimageanalyticalsolutionandre-constructionintheimagefrequencydomainbasedonthephysicalcharacteristicsoftheimageformation.Themethodhasdemonstratedthattheresultsoftheimagefusiondonotchangespectralcharacteristicsoftheoriginalimage.

简介：在维持在供应之间的平衡的耕地工具的供应和需求和在有时间的推移的某个区域以内的耕地的需求之间的动态平衡。维持在耕地的供应和需求之间的动态平衡是为耕地的持续使用和农业的持续发展的前提和基础，是众所周知的。并且它是与整个社会和国民经济的持续发展有关的一个全面、战略的问题。现在，面对象人口的快速的生长的如此的一种严重状况，蓬勃发展工业和城市的扩大，激进的土壤恶化和污染和数量的连续减少和在世界上的耕地的质量，中国不得不依靠它的自己的陆地作为一个号码1最大的人口得到食物的自足。

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.