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1、ICIP2005TutorialImageRegistration:ASurveyandRecentAdvancesPresentedbyBarbaraZitov´aJanFlusserFilipSroubekˇInstituteofInformationTheoryandAutomationAcademyofSciencesoftheCzechRepublicPodvod´arenskouvˇeˇz´ı4,18208Prague8,CzechRepublicE-mail:{zitova,flusser,sroubekf}@utia.cas.czThisiscomplemen
2、tarymaterialforICIP’05tutorial”ImageRegistration:ASurveyandRecentAdvances”.Itaimstopresentareviewofrecentaswellasclassicimageregistrationmethods.Imageregistrationistheprocessofoverlayingtwoormoreimagesofthesamescenetakenatdifferenttimes,underdifferentlightingconditions,fromdifferentviewpoints
3、and/orbydifferentsensors.Themajorregistrationpurposeistoremoveorsuppressgeometricdistortionsbetweenthereferenceandsensedimages.Imageregistrationisacrucialstepinallimageanalysistasksinwhichthefinalinformationisgainedbycombiningvariousdatasources.Imageregistrationisrequired,amongothers,inremot
4、esensing(multispectralclassification,imagefusion,environmentalmonitoring,changedetection,imagemosaicing,weatherforecasting,integratinginformationintoGIS),inmedicine(combiningCTandNMRdatatoobtainmorecompleteinformationaboutthepatient,monitoringoftumorgrowth,comparisonofthepatientdatawithanat
5、omicalatlases),incartography(mapupdating),andinmilitaryapplications(targetlocalization,missilenavigation).Keywords:Imageregistration,featuredetection,featurematching,mappingfunction,re-samplingPartI:Survey1IntroductionImageregistrationistheprocessofoverlayingtwoormoreimagesofthesamesceneta
6、kenatdifferenttimes,fromdifferentviewpoints,and/orbydifferentsensors.Itgeometricallyalignstwoimages-thereferenceandsensedimages.Thepresentdifferencesbetweenim-agesareintroducedduetodifferentimagingconditions.Imageregistrationisacrucialstepinallimageanalysistasksinwhichthefinalinformationisgained
7、fromthecombina-tionofvariousdatasourceslikeinimagefusion,changedetection,andmultichannelimagerestoration.Typically,registrationisrequiredinremotesensing(multispectralclassification,environmentalmonitoring,changedetection,imagemosaicing,weatherforecasting,creati
