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基于改进SURF算法的无人机遥感图像拼接方法.docx

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基于改进SURF算法的无人机遥感图像拼接方法 Title:ImprovedSURF-basedMethodforUAVRemoteSensingImageStitching Abstract: UnmannedAerialVehicles(UAVs)arewidelyusedforremotesensingapplicationsduetotheirabilitytocapturehigh-resolutionimagesoverlargeareas.Imagestitching,theprocessofmergingmultipleUAVimagesintoaseamless,panoramiccomposite,iscrucialforcreatingacompleterepresentationoftheareaofinterest.ThispaperproposesanimprovedmethodforUAVremotesensingimagestitchingbasedontheSpeeded-UpRobustFeatures(SURF)algorithm.Theproposedapproachenhancestheaccuracy,efficiency,androbustnessoftheimagestitchingprocessbyintegratingkeyimprovementsintothetraditionalSURFalgorithm.Experimentalresultsdemonstratetheeffectivenessoftheproposedmethodintermsofimagequalityandstitchingaccuracy. Keywords:UAV,remotesensing,imagestitching,SURFalgorithm,accuracy,efficiency,robustness 1.Introduction: ThefieldofremotesensinghasbeenrevolutionizedbytheuseofUAVs,whichprovideanefficientandcost-effectivemeansofcollectinghigh-resolutionimageryoflargeareas.ImagestitchingplaysavitalroleingeneratingacomprehensiveimageoftheentireareabymergingmultipleUAVimagesseamlessly.Thetraditionalapproachtoimagestitchingreliesonfeaturedetectionandmatchingalgorithms,suchastheSURFalgorithm.However,theSURFalgorithmhaslimitationsintermsofrobustnessandefficiency.ThispaperproposesanimprovedUAVremotesensingimagestitchingmethodthataddressestheselimitationsandenhancestheoverallstitchingperformance. 2.LiteratureReview: Inrecentyears,numerousimagestitchingalgorithmshavebeendeveloped,focusingonfeaturedetectionandmatching,imagealignment,andblendingtechniques.TheSURFalgorithmhasbeenwidelyusedduetoitsscale-invariance,rotation-invariance,androbustnessagainstimagetransformations.However,theSURFalgorithmsuffersfromlimitationsintermsofmatchingaccuracyandcomputationalefficiency.VariousresearchershaveproposedimprovementstotheSURFalgorithm,suchastheintegrationofotherfeaturedetectionalgorithms,andtherefinementofthematchingprocess. 3.Methodology: TheproposedmethodforUAVremote