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基于发射率偏差约束的多光谱真温反演算法.docx

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基于发射率偏差约束的多光谱真温反演算法 Title:MultispectralTrueTemperatureInversionAlgorithmBasedonEmissivityDeviationConstraint Abstract: Thedeterminationoftruesurfacetemperatureiscrucialinvariousfieldssuchasremotesensing,climatemodeling,andenvironmentalstudies.However,accuratetemperatureretrievalfrommultispectralremotesensingdataischallengingduetothecomplexinteractionsbetweensurfacematerialsandelectromagneticradiation.Thispaperproposesanovelmultispectraltruetemperatureinversionalgorithmbasedonanemissivitydeviationconstrainttoenhancetheaccuracyoftemperatureretrieval.Thealgorithmincorporatesinformationfrommultiplespectralbandsandconsiderstheemissivityvariationsofdifferentsurfacematerials.Experimentalresultsdemonstratethattheproposedalgorithmimprovestheaccuracyoftruetemperatureretrievalcomparedtoexistingmethods. 1.Introduction Accuratetemperatureretrievalfrommultispectralremotesensingdataisessentialforawiderangeofapplications,includingclimatemodeling,environmentalstudies,andagriculturemonitoring.However,thecomplexityofsurfacematerialsandtheirinteractionswithelectromagneticradiationposechallengesinretrievingtruetemperaturesfrommultispectraldata.Traditionaltemperatureretrievalalgorithmsoftenassumeaconstantemissivity,whichcanleadtosignificanterrors,especiallyforsurfaceswithvaryingmaterialcompositions.Toaddressthisissue,thispaperproposesanovelalgorithmthatconsiderstheemissivityvariationsofdifferentsurfacematerials. 2.Background 2.1MultispectralRemoteSensing MultispectralremotesensingusessensorswithmultiplespectralbandstocapturetheelectromagneticradiationreflectedoremittedbytheEarth'ssurface.Eachbandcorrespondstoaspecificrangeofwavelengthsandprovidesinformationaboutthesurfaceproperties.Byanalyzingtheradianceorbrightnesstemperaturefromdifferentbands,itispossibletoderivevaluableinformationaboutsurfacetemperatureandotherparameters. 2.2EmissivityandTemperatureRelationship Emissivityisamaterial'sabilitytoemitradiationcomparedtoaperfectblackbodyatthesametemperature.Surfacetemperatureretrievalalgor