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复杂背景条件下红外弱小目标检测.docx

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复杂背景条件下红外弱小目标检测 Title:InfraredWeakSmallTargetDetectionunderComplexBackgroundConditions Abstract: Infraredweaksmalltargetdetectionplaysacrucialroleinvariousapplicationssuchassurveillance,targettracking,andmilitaryimagingsystems.However,detectingweaksmalltargetsincomplexbackgroundconditionsremainsachallengingtaskduetotheirlowsignal-to-noiseratioandlimiteddiscriminativefeatures.Thispaperaimstoreviewanddiscusstheexistingapproachesfordetectinginfraredweaksmalltargetsundercomplexbackgroundconditions.Itevaluatesthestrengthsandweaknessesoftheseapproachesandprovidesinsightsintofutureresearchdirectionsinthisfield. 1.Introduction Infraredimagingtechnologyhasbeenwidelyusedinvariousfields,includingtargetdetection,recognition,andtracking.Weaksmalltargetdetectionisoneofthemostcriticaltasksininfraredimaging,especiallyincomplexbackgroundconditions.Thelimitationsoftraditionalimageprocessingtechniquesmakethedetectionofweaksmalltargetsininfraredimagesachallengingtask.Thispaperaimstoaddressthischallengeandprovideacomprehensivereviewofthecurrentstate-of-the-artmethods. 2.ChallengesinWeakSmallTargetDetection Detectingweaksmalltargetsincomplexbackgroundconditionsischallengingduetoseveralfactors: -Lowsignal-to-noiseratio:Weaksmalltargetsoftenhavelowcontrastandareeasilyoverwhelmedbybackgroundnoise. -Limiteddiscriminativefeatures:Weaksmalltargetsmaylackdistinctfeaturesthatdifferentiatethemfromthebackground. -Complexbackgroundconditions:Thepresenceofmultipleobjects,clutter,occlusions,andvaryinglightingconditionsmaketargetdetectionmoredifficult. 3.ReviewofExistingApproaches Thissectionreviewstheexistingmethodsforweaksmalltargetdetectionundercomplexbackgroundconditions: -Traditionalimageprocessingtechniques:Thesemethodsincludebackgroundsuppression,morphologicaloperations,andfiltering.Whileeffectiveinsimplebackgroundscenarios,theymayfailtodistinguishweaksmalltargetsfromcomplexbackgrounds. -Statistical-basedmethods:Thesemethodsutilizestatisticalmodelstoestimateanddetectweaksmalltargets.Theyoftenre