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《Science of Surveying and Mapping》 2011-01
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Resolving method of remote sensing image registration coefficient based on Maximum Likelihood Estimation Sample Consensus

SONG Yan①,TIAN Yu-gang①,JIA Xiao-xia②(①Faculty of Information Engineering,China University of Geosciences,Wuhan 430074,China;②Wuhan Geotechnical Engineering and Surveying Institute,Wuhan 430022,China)  
This paper proposed an resolving method of image registration coefficient which utilizes Maximum Likelihood Estimation Sample Consensus(MLESAC).The method originates from Maximum Likelihood Estimation theory.At first,it made probablity modeling of initial correspondence points.And then it calculated the value of likelihood function assuming the model was correct.At last,MLESAC algorithm selected the coefficient which has the max value of likelihood function as final result,and removed wrong match points.Comparing with least squared method,MLESAC algorithm could be able to calculate registration coefficient more precisely.Furthermore MLESAC algorithm is independent of threshold,and more robust than random sample consensus(RANSAC).Experiments in the paper proved that,MLESAC improved the resolving robustness and precision of image registration coefficient.
【Fund】: 国家自然科学基金(NO.40801213);; 国家科技支撑“长三角地区自然灾害风险等级评估技术研究”(2008BAK50B07);; 中国地质大学(武汉)优秀青年教师资助计划(CUGQNL0932)
【CateGory Index】: TP751
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