简介:Variousplatforms,suchassatellite,aircraft,ground-based,someemergingaspects(e.g.internet)haveresultedinadramaticimprovementinthecapabilitiesofearthobservations(EO).Thenumerousremotesensingdatapromoteanenhancedpossibilitytoassess,monitor,andpredictthedynamicsofland-covers,anthropologicprocesses,andinfluencetotheenvironments.Nonetheless,thepropertiesofthedataacquiredbysuchdiversesourcesposechallengestotheprocessingmethodologies,andhence,developmentofaseriesofnewmethodsfortheanalysisofremotesensingimagesisrequired,TheaimofthisspecialissueofGeospatialInformationScienceistodevelopnewideasandtechnologiestofacilitatetheutilityofremotesensingdataandtofurtherexploreitspotentialinvariousapplications.
简介:Inthispaper,thetechniqueofquasi-losslesscompressionbasedontheimagerestorationispresented.Thetechniqueofcompressiondescribedinthepaperincludesthreesteps,namelybitcompression,correlationremovingandimagerestorationbasedonthetheoryofmodulationtransferfunction(MTF).Thequasi-losslesscompressioncomestoahighspeed.Thequalityofthereconstructionimageunderrestorationisuptoparofthequasi-losslesswithhighercompressionratio.TheexperimentsoftheTMandSPOTimagesshowthatthetechniqueisreasonableandapplicable.
简介:这研究的主要目的是在伊拉克的南部的部分的一个代表性的区域在最后20年期间加亮环境变化指示物(Basrah省作为一个盒子被拿)可伸缩理解用印射的1:250000导致了普遍环境降级现象的主要原因。遥感和GIS软件被用来分类Landsat在1990的TM和在进五的2003形象的LandsatETM+打使用和陆地盖子(LULC)班:植被土地,沙陆地,城市的区域,闲置的陆地,和水身体。监督分类和规范的差别植被索引(NDVI),规范的差别逐渐增加索引(NDBI),规范的差别水索引(NDWI),规范的差别咸度索引(NDSI),并且表层土谷物尺寸索引(GSI)在这研究被采用并且分别地过去常检索它的班边界。结果在植物的盖子(514.9km2)和沙沙丘累积(438.6km2)的增加显示出清楚的恶化,为10.1,和10.6%的财务,分别地全部的学习区域。另外,在水身体区域的减少被检测(228.9km2)。沙区域累积在全部的学习区域增加了,与年度增加扩大率(33.7km2???????????吗??
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简介:Thispaperintroducestheimagefusionapproachofmulti-resolutionanalysis-basedintensitymodulation(MRAIM)toproducethehigh-resolutionmulti-spectralimagesfromhigh-resolutionpanchromaticimageandlow-resolutionmulti-spectralimagesfornavigationinformationinfrastructure.Themathematicalmodelofimagefusionisderivedaccordingtotheprincipleofremotesensingimageformation.Itshowsthatthepixelvaluesofahigh-resolutionmulti-spectralimagesaredeterminedbythepixelvaluesoftheapproximationofahigh-resolutionpanchromaticimageattheresolutionleveloflow-resolutionmulti-spectralimages,andinthepixelvalaecomputationtheM-bandwavelettheoryandtheàtrousalgorithmarethenused.InordertoevaluatetheMRAIMapproach,anexperimenthasbeencarriedoutonthebasisoftheIKONOS1mpanchromaticimageand4mmulti-spectralimages.TheresultdemonstratesthatMRAIMimagefusionapproachgivespromisingfusionresultsanditcanbeusedtoproducethehigh-resolutionremotesensingimagesrequiredfornavigationinformationinfrastructures.
简介:Automaticextractionofroadandlinearstructurefromremotesensingimagesisaveryimportantproblem.Thispaperanalysesseveralexistingmethodsoftheautomaticroadandlinearstructureextractionbyusingsomemulti-spectralremotesensingimagesacquiredfromdifferentspatialresolutions,districtsandroadcharacteristics.Theiradvantagesanddisadvantageshavebeengeneralized.
简介:有为在农业分水岭的环境恢复的长期的植被盖子的河边的缓冲区的地理设计需要估计多少农田位于一个担心的分水岭的缓冲区。传统地,这个评价被地调查并且用手的印射做,它是为一个大区域的一个费时间、昂贵的过程。在这份报纸,遥感(RS)和地理信息系统(GIS)作为划算的技术被用来为识别农业河边的缓冲区恢复的批评地点开发一条基于集水的途径。方法与11集水通过分水岭的案例研究被解释,结果仅仅显示出那四集水以为河边的缓冲区恢复的更高的优先级是合格的。这研究在集水以内越过一个分水岭并且到可变缓冲情形的地理图案在基于集水的河边的缓冲区有方法学的贡献到对耕作紧张的空间评价。前者使基于集水的管理策略可能,并且后者提供其他的恢复情形遇见不同管理目的,哪个在真实世界上有直接实现到河边的缓冲区的环境恢复。因此,这研究加亮RS和GIS应用程序的大潜力到在农业分水岭计划和河边的缓冲区恢复的管理。
简介:Thispapercalculatestheparametersofimagepositionandorientation,proposesamathematicalmodelandadoptsanewmethodwiththreestepsoftransformationsbasedonparallelrayprojection.Everystepofthemodelisstrict,andthemapfunctionofeachtransformationisthefirstorderpolynomialsandothersimplefunction.Thefinalcalculationoftheparametersisforthelinearequationswithgoodstatus.Asaresult,theproblemoftherelativityofimageparametercalculationissolvedcompletely.Someexperimentsarecarriedout.
简介:IthaslongbeenacknowledgedthatGISdatacanbeusedasauxiliaryinformationtoimproveremotesensingimageclassification.Inpreviousstudies,GISdatawereoftenusedintrainingareaselectionandpostprocessingofclassificationresultoractedasadditionalbands.Generally,itisfulfilledinastatisticalorinteractivemanner,soitisdifficulttousetheauxiliarydataautomaticallyandintelligently. Furthermore,iftheclassifierrequestscertainstatisticalcharacteristics,theadditionalbandmethodcannotbeusedbecausemostauxiliarydatadonotmeettherequirementsofstatisticalcharacteristics.Ontheotherhand,expertsystemtechniqueswereincorporatedinremotesensingimageclassificationtomakeuseofdomainknowledgeandlogicalreasoning.Butbuildinganimageclassificationexpertsystemwasverydifficultbecauseofthe“knowledgeacquisitionbottleneck”. Spatialdataminingandknowledgediscovery(SDMKD),istheextractionofimplicit,interestingspatialornon_spatialpatternsandgeneralcharacteristics.Weproposedatheoreticalandtechnicalframeworkofspatialdataminingandknowledgediscovery(Lietal.,1997).Andspatialdataminingissupposedtobeusedintwoaspects,oneisintelligentanalysisofGISdata,theotheristosupportknowledgedriveninterpretationandanalysisofremotesensingimages.SDMKDprovidesanewwayofknowledgeacquisitionforremotesensingimageclassification.Severalresearchershavedonesomeworkinthisfield.Eklundetal.(1998)extractedknowledgefromTMimagesandgeographicdatainsoilsalinityanalysisusinginductivelearningalgorithmC4.5.Huangetal.(1997)extractedknowledgefromGISdataandSPOTmultispectralimageinwetlandclassificationusingC4.5too.Inthesetwostudies,geographicdatawereconvertedfromvectortorasterformatinwhichthesamplingsizeisequaltoimagepixelsize.Theimplementationofdataminingtechniquesinspatialdatabase,especiallyinductivelearningmethod,andthecombinationo
简介:Spatialandtemporalresolutionofwatervaporcontentisusefulinimprovingtheaccuracyofshort-termweatherprediction.DenseandcontinuouslytrackingregionalGPSarrayswillplayanimportantroleinremotesensingatmosphericwatervaporcontent.Inthisstudy,apiecewiselinearsolutionmethodwasproposedtoestimatetheprecipitablewatervapor(PWV)contentfromground-basedGPSobservationsinHongKong.ToevaluatethesolutionaccuracyofthewatervaporcontentsensedbyGPS,theupperairsoundingdata(radiosonde)thatarecollectedlocallywasusedtocalculatetheprecipitablewatervaporduringthesameperiod.One-monthresultsofPWVfrombothground-basedGPSsensingtechniqueandradiosondemethodareinagreementwithin1~2mm.ThisencouragingresultwillmotivatetheGPSmeteorologyapplicationbasedontheestablishmentofadenseGPSarrayinHongKong.
简介:质地分析经常在处理领域的图象被讨论,但是大多数方法在灰色级的图象或颜色图象以内是有限的,并且质地的现在的概念主要基于单身的乐队的灰色级的图象被定义。遥感图象的必要字符之一多维或甚至高度维,并且传统的质地概念不能为这些包含足够的信息。因此,一个合适的质地定义基于遥感想象,对追求必要,它是在这份报纸的第一讨论。这份报纸描述印射的模型光谱在用Markov随机的地(MRF)的二维的图象空格的向量,基于MRF,和分析建立multiband遥感图象的一个质地模型吉布斯的计算势能和吉布斯参数。进一步,这份报纸也分析传统的吉布斯模型的限制,比较喜欢避免参数的评价的一个新吉布斯模型,并且以后介绍为hyperspectral遥感图象的一个新质地分割算法。
简介:ThepolicyoftheChinesegovernmentconcerningthehorizontalexpansionofthecultivatedlandthroughthereclamationofdesertsoilsresultinatotalincreaseof665.985km2duringtheperiod1987-1999inNorthShaanxi.Thisincreaseislessthanthelossinarablelandbyurbanization.Theacceleratedrateofchangeinagriculturalareascallsformorerapidsurveysofurbanizationandlossofarableland.Remotesensinghasanumberofadvantagesoverground-basedmethodsforsuchsurveys.Themulti-scaleconceptofremotesensingdatahelpusstudytheprobleminfourtowns.Severalmapswereproducedtoanalyzethesituationofurbancoverageindifferenttimes.Theevaluationofthestatus,rateandriskofurbanizationarebasedonanacceptedaverageofurbanincreaseas2%ofpopulationgrowthperyear.
简介:学习的主要目的是用遥感和地理信息系统(GIS)与一条综合途径在Thirumanimuttar盆识别地下水潜力地区。LandsatTM30m分辨率数据和地志的地图的FCC图象被用来产生相似地质学,地形学,貌和貌密度,排水,排水密度,和斜坡学习区域印射的题目的地图。象Denudational山,结构的山,Bajadas,塌积的平原,Pediplain,深三角饰和冲积平原那样的很多个似地球形状的单位被观察了。一张合成地下水潜力地图作为基于地下水可获得性区域很高、高、中等、低、很低被产生了。盆上面、中间、下游为地下水作为潜在的地区被识别了探索。为地下水潜力地区证明的貌和交叉的貌的区域。产生的数据与领域检查被验证并且观察了在有一样的一致。