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1、Imageregistrationmethods:asurveyBarbaraZitova"*,JanFlusserDepartmentofImageProcessing,InstituteofInformationTheoryandAutomation,AcademyofSciencesoftheCzechRepublicPodvoda'renskouvevzvi,4,18208Prague8,CzechRepublicReceived9November2001;receivedinrevisedform20June2003;accepted26June2003Abs
2、tractThispaperaimstopresentareviewofrecentaswellasclassicimageregistrationmethods.Imageregistrationistheprocessofoverlayingimages(twoormore)ofthesameseenetakenatdifferenttimes,fromdifferentviewpoints,and/orbydifferentsensors.Theregistrationgeometricallyaligntwoimages(therefereneeandsense
3、dimages).Thereviewedapproachesareclassifiedaccordingtotheirnature(areabasedandfeature-based)andaccordingtofourbasicstepsofimageregistrationprocedure:featuredetection,featurematching,mappingfunctiondesign,andimagetransformationandresampling.Maincontributions,advantages,anddrawbacksoftheme
4、thodsarementionedinthepaper.Problematicissuesofimageregistrationandoutlookforthefutureresearcharediscussedtoo.Themajorgoalofthepaperistoprovideacomprehensivereferencesourcefortheresearchersinvolvedinimageregistration,regardlessofparticularapplicationareas.©2003ElsevierB.V.Allrightsreserv
5、ed.Keywords:Imageregistration;Featuredetection;Featurematching;Mappingfunction;Resampling1.IntroductionImageregistrationistheprocessofoverlayingtwoormoreimagesofthesameseenetakenatdifferenttimes,fromdifferentviewpoints,and/orbydifferentsensors.Itgeometricallyalignstwoimages—therefereneea
6、ndsensedimages.Thepresentdifferencesbetweenimagesareintroducedduetodifferentimagingconditions.Imageregistrationisacrucialstepinallimageanalysistasksinwhichthefinalinformationisgainedfromthecombinationofvariousdatasourceslikeinimagefusion,changedetection,andmultichannelimagerestoration.Ty
7、pically,registrationisrequiredinremotesensing(multispectralclassification,environmentalmonitor!ng,changedetection,imagemosaicing,weatherforecasting,creatingsuper-resolutionimages,integratinginformationintogeographicinformationsystems(GIS)),inmedicine(combiningcomputertomo
