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使用泊松方程插值方法进行遥感影像融合.docx

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使用泊松方程插值方法进行遥感影像融合 Title:ImageFusionofRemoteSensingDatausingthePoissonEquationInterpolationMethod Abstract: Remotesensingimagefusionplaysacrucialroleinthefieldofimageprocessingandanalysis.Itcombinescomplementaryinformationfrommultipleimagestoenhancetheoverallvisualqualityandextractmoreaccurateandmeaningfulinformation.Inthisstudy,weproposetheuseofthePoissonequationinterpolationmethodforremotesensingimagefusion.Themethodaimstopreservebothdetailedstructuresandstatisticalcharacteristicsofthesourceimagesthroughaspatialdomaintransformation.ExperimentalresultsdemonstratetheeffectivenessandadvantagesofthePoissonequationinterpolationmethodingeneratinghigh-qualityfusedimages. 1.Introduction: Remotesensingtechnologyenablestheacquisitionofhigh-resolutionimagesfromvarioussensorsonboardsatellitesoraircraft.TheseimagesprovidevaluableinformationabouttheEarth'ssurfaceandarewidelyusedinvariousapplicationssuchaslandcoverclassification,urbanplanning,andenvironmentalmonitoring.However,differentsensorsoftencaptureimageswithdistinctcharacteristics,includingspatialresolutions,spectralbands,andradiometricproperties.Imagefusiontechniquesmergeimagesacquiredfrommultiplesensorstogenerateasinglecompositeimagethatcombinestheadvantagesofeachinputimage. 2.ImageFusionTechniques: Thereareseveralexistingimagefusiontechniques,includingpixel-levelfusionmethods,feature-levelfusionmethods,andmodel-basedfusionmethods.Pixel-levelfusionmethodsfocusoncombiningpixelintensitiesfromdifferentimages,suchasaveraging,usingthemaximumorminimumvalue,orselectingthemostdominantpixelfromthesourceimages.Feature-levelfusionmethodsusepredefinedimagefeatures,suchasedgesortextures,toguidethefusionprocess.Model-basedfusionmethodsemploymathematicalmodels,suchasthemultiresolutionanalysisorwavelettransform,tofuseimagesbyreconstructingtheoriginalscene. 3.ThePoissonEquationInterpolationMethod: ThePoissonequationinterpolationmethodisaspatialdomainfusiontechniquethataimstopreservefinedetailsandstatisticalpropertiesofthesourceimages.Th