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1、IOPConferenceSeries:EarthandEnvironmentalSciencePAPER•OPENACCESSRelatedcontent-LandcoverclassificationofLandsat8BEMD-basedhighresolutionimagefusionforlandsatellitedatabasedonFuzzyLogicapproachcoverclassification:AcasestudyinGuilinAfirahTaufikandSharifahSakinahSyedAhmad-Comparativeperfo
2、rmanceofALOSTocitethisarticle:LeiLietal2016IOPConf.Ser.:EarthEnviron.Sci.46012053PALSARpolarizationbandsanditscombinationwithALOSAVNIR-2dataforlandcoverclassificationCKSim,KAbdullah,MZMatJafrietal.-MappingmountainmeadowwithhighViewthearticleonlineforupdatesandenhancements.resolutionand
3、polarimetricSARdataBangsenTian,ZhenLi,JuanXuetal.ThiscontentwasdownloadedfromIPaddress183.158.90.254on07/08/2018at05:116thDigitalEarthSummitIOPPublishingIOPConf.Series:EarthandEnvironmentalScience46(2016)012053doi:10.1088/1755-1315/46/1/012053BEMD-basedhighresolutionimagefusionforlandc
4、overclassification:AcasestudyinGuilin12344LeiLi,GuangLiu*,QingwenJin,ChengxinHe,YuqingHuangandYuefeng4Yao1DepartmentofSurvey,SchoolofCivilEngineering,BeijingJiaotongUniversity,Beijing100044,China;2KeyLaboratoryofDigitalEarthScience,InstituteofRemoteSensingandDigitalEarth,ChineseAcademy
5、ofSciences,Beijing100094,China;3InstituteofGeographyandEnvironment,BaojiUniversityofArtsandSciences,Baoji721013,Shaanxi,China4GuangxiInstituteofBotany,GuangxiZhuangAutonomousRegionandChineseAcademyofSciences,Guilin541006,China.*E-mail:liuguang@radi.ac.cnABSTRACT:Analysisofimagetexturef
6、eaturecanhelptoreducetheadverseeffectsoftheconditionthatsameobjectbutdifferentbandorsamebandbutdifferentobject.Therefore,ifitcanaddandhighlightthetextureinformationtotheremotesensingimage,itwillbeveryhelpfulintheclassificationofgroundobjects.InthispaperweconsidertoaddSARimageinformatio
7、ninclassification.Bidimensionalempiricalmodedecomposition(BEMD)hasbeenwidelyappliedtotheanalysisofnon-stationaryandnon-linearsignals.ThispaperproposesanewmethodforfusinghighresolutionSARandopticalimageinGuilinarea,basedonBidimensionalempiricalmodedecomposition(BEMD)method.1.Introduct