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基于衬底温度和贝叶斯估计的红外非均匀性校正（英文）.docx

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基于衬底温度和贝叶斯估计的红外非均匀性校正（英文） Abstract Infrarednon-uniformitycorrection(NUC)isoneofthekeytechnologiesininfraredimageprocessing,whichisusedtoeliminatethespatialandtemporalnon-uniformityofIRdetectorarrays.Inthispaper,weproposeamethodofinfraredNUCbasedonthesubstratetemperatureandBayesianestimation. Introduction Infraredimagingtechnologyhasbeenwidelyusedinvariousfieldsduetoitsuniqueadvantages,suchasnightvision,thermalimaging,remotesensing,andsoon.However,infrareddetectorstendtoproducespatialandtemporalnon-uniformitiesduetovariousreasons,suchastemperaturefluctuations,manufacturingdefects,andsoon.Thesenon-uniformitiesaffectthequalityoftheimagesandweakenthedetectionperformanceoftheinfraredsystems.Therefore,infrarednon-uniformitycorrection(NUC)isacrucialstepininfraredimageprocessing. InfraredNUCmethodscanberoughlydividedintotwocategories:radiometric-basedmethodsandstatistical-basedmethods.Radiometric-basedmethodsrelyontheblackbodyradiationofanexternalreferencesourcetocalibratethedetectorresponse,whilestatistical-basedmethodsestimatethenon-uniformityparametersdirectlyfromtheinfraredimagedata.Statistical-basedmethodsaremoresuitableforon-boardorreal-timeapplicationsduetotheirsimplicityandefficiency. Inthispaper,wefocusonthestatistical-basedmethodforinfraredNUC.Specifically,weproposeamethodthatcombinestheinformationofsubstratetemperatureandBayesianestimationtocorrectthenon-uniformityininfraredimages. Methodology Theproposedmethodconsistsofthreemainsteps:substratetemperaturemeasurement,non-uniformityparameterestimation,andimagecorrection. Firstly,thesubstratetemperatureismeasuredusingamicrothermocouplearrayattachedtothedetectorsubstrate.ThetemperatureinformationcanbeusedasaprioriknowledgefortheBayesianestimationofnon-uniformityparameterlater. Secondly,thenon-uniformityparametersareestimatedbasedontheinfraredimagedatausingBayesianestimation.Inourmethod,wemodelthenon-uniformityasaspatiallyvaryingGaussianprocess,whosemeanandvariancearemodeledasfunctionsofsubstratetemperature.Byutilizin