融合互补仿射不变特征的倾斜立体影像高精度自动配准方法.pdf

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1、第42卷第6期测绘学报VoI．42，No．62013年12月ActaGeodaeticaetCartographicaSinicaDec．，2O13YAOGuobiao，DENGKazhong，ZHANGLi，eta1．AnAutomatedRegistrationMethodwithHighAccuracyforObliqueStereoImagesBasedonComplementaryAffineInvariantFeatures[J]．ActaGeodaeticaetCartographicaSinica，2013，42(6)：869—876

2、．(姚国标，邓喀中，张力，等．融合互补仿射不变特征的倾斜立体影像高精度自动配准方法[J]．测绘学报，2013，42(6)：869—876．)融合互补仿射不变特征的倾斜立体影像高精度自动配准方法姚国标～，邓喀中，张力，杨化超，艾海滨1．中国矿业大学国土环境与灾害监测国家测绘地理信息局重点实验室，江苏徐州221116；2．中国测绘科学研究院，北京100830AnAutomatedRegistrationMethodwithHighAccuracyforObliqueStereoImagesBasedonComplementaryAffineInvaria

3、ntFeaturesYAOGuobiao～．DENGKazhong。ZHANGLi。，YANGHuachao，AIHaibin。1．KeyLaboratoryforLandEnvironment＆DisasterMonitoringofSBSM，SchoolofEnvironmentaI＆SpatiaIInformatics，ChinaUniversityofMin1ng＆Technology．Xuzhou22l116，China；2．ChinaAcademyofSurveying＆Mapping，Belling100830·ChinaAbstrac

4、t：AnautomaticandpreciseregistrationaIgorithmisproposedbasedoncomplementaryaffineinvariantfeatures．Thealgorithmwasinvolvedinthreestages：①MSERandHarris&HessianAffineweredetectedsimultaneouslyonimagepairs．andthenacertainamountofoptimaIfeatureswereextractedbyMSTaIgorithm．LocaIimage

5、patchcenteredoncentroidofaffiReregionswererectifiedbasedontheinformationofaffinegeometryandorientations．inordertoincreasethenumberofmatchesandidentifythefalsec0rresD0ndences，matchingmethodwasimplementedfromcoarsetofiRe．tnitiaImatchingfeatureswerefirstlyobtainedbytheEuclideandis

6、tanceratioandSIFTdescriptor，andthenthefundamentaIandhomographymatrixescanbeestimatedbetweenimagepairs，themorematchingfeatureswereacquiredbyusinghybridconstraintsbasedonnormaIizedcrosscorrelationmeasure．②withthepurposeofgainingsubpixelaccuracy，initiaIprojectionmatrixwasoptimized

7、byleastsquarematching，andthenthematchingerrorwascom0ensatedaccordingtotheoptimaIprojectionmatrix，theinitiaIprojectionmatrixwasobtainedbasedoncovariancematrixandtheprincipaIgradientorientationofc0rrespondentaffineregions．③thehighaccuracyregistrationwasobtainedbasedonthematchingr

8、esultofthesecondstageandtheprojectiontransforma—tionmo