jointblindunmixin gands p arsere p resentationforanomal y detectioninh yp ers p ectralima g e

anomal ytar g etdetectionisanimp ortantissueinh yp ers p ectralremotesensin g，however，howtomodeltheback g roundisamostdifficultp roblem.thetraditionalrxal g orithmisrestrictedb ynon-g aussiandistributionoftheback g round.theob j ectiveofourworkistodevelo panewrobustanomal ydetectional g orithm.thisnewal g orithmwasabletofindsub-p ixeltar g ets;wealsop resentanewback g roundre p resentationmodel.theback g roundwasmodeledb yadictionar ycomp osedofrel-ativel yp ureback g roundendmemberbundlesthatwereconstructedb yablindunmixin gal g orithm.ever yp ixel intheh yp ers p ectral ima g ewasmodeledb ys p arsere g ressionusin gthedictionar y.there-constructionerrorwasusedasanomal yfeature;thosep ixelsthathavelar g ere g ressionreconstructionerrorsarethep otentialanomal ytar g ets.finall y,adualwindowbasednearestnei g hboranal y siswasusedtoenhancetheanomal ylikefeatures.thisal g orithmj oinedg lobalandlocal informationtog uar-anteethereliabilit y.ascomp aredtotheclassicalrxal g orithms,thep ro p osedal g orithmp erformedver ywellwithsimulateddata,inwhichthesub-p ixel tar g etwasconstructedb ytar g etandback g roundsi g nalswithdifferentmixedfractionandp ollutedb ynoise.tworealdataex p erimentsalsoconfirmedtheeffectiveness.