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1、TheRemoteSensingImageFusionMethodABSTRACTRemoteSensingImageFusionisoneofthekeytechniquesintheRemoteSensing(RS)domain.WiththerapiddevelopmentoftheRSinformationfusionhasbeenplayinganincreasinglyimportantrole.AfterabriefintroductiontotheRSTechnologyandRSinformationfusion,thispaperdescribesthemulti
2、-spectrumimagefusionindetail,withtheemphasisonthePCAFusion,theHISFusionandtheWaveletFusionapproach,whosemathematicalfoundation,principleandtraitsareexploredinturn.FinallyinthetraditionalimagefusionisproposedonthebasisofanewfusionmethodbasedonPCAandHIS,suchasthenewimagefusionmethodfusion,andthro
3、ughexperimentverificationanalyzedthenewmethodisfeasible.KEYWORDSRemoteSensing；RemoteSensingmageFusion；K-LFusion；HISFusion1IntroductionInformationRepresentationdifferentlevel,multi-sensorremotesensingimagefusioncanbedividedintothepixellevelfusion,featurefusionanddecisionlevelfusion.Pixellevelfus
4、ionistheprocessofcomprehensiveinformationdirectlytoobtainthevariouspiecesofremotesensingimagepixels,sotheimagesegmentation,featureextractionworkonthebasisofmoreaccurateandbettervisualeffect.Pixellevelfusionisintuitive,simpletooperate,andtheapplicationofthemostwidelyused.Pixel-levelfusionmethodI
5、HStransform,wavelettransform,principalcomponentanalysis(PCA)andBroveytransformmethod.Feature-levelfusionistheimagefeatureextraction,edge,shape,contour,texture,andotherinformationwillbeextractedtoacomprehensiveanalysisofthefusionprocess.Decision-levelfusionistheintegrationofahighlevel,oftenappli
6、cation-orienteddecisionsupportservices.2Thepixel-levelimagefusion Pixellevelfusionprocesscanbedividedintofourgeneralsteps:pretreatment,transformandinversetransform(reconstructedimage).Papersassumethatmostofthestudiespixellevelfusionthefusedimageregistration,butthereareanumberofresearchpapers
7、specializinginregistrationprocessingthetransformationstageusingthemainsquare:PCA,sometimesalsoknownasthePCT;HIStransform;multiresolutionmethodpyramidalgorithmsandmulti-resolutionwavelettransform.Integratedphaseswillbefusedtotheint
