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《Science of Surveying and Mapping》 2011-03
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Auto-matching between multi-source remote sensing images base on SIFT features

LI Ran①,ZHANG Yun-sheng②(①School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;②State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan430079,China)  
In this paper,an automatic image matching algorithm base on SIFT features was presented for misaligned multi-source remote sensing images.In the algorithm,the feature points were extracted by the scale-space extrema detection,and interesting value of Harris operator which was used to make the distribution of feature points evenly.Then the SIFT feature description was created and base on the matching rule of the Euclidean distance similarity measurement,the homonymy points between different source remote sensing images were obtained.At last,using the result from SIFT feature matching as initial value,the homonymous points could be forwarded for precise location by Least Square Matching.The experiment data was SPOT-5HRG panchromatic image and aerial image,and the experiment result was satisfying.
【Fund】: 国家973计划资助项目(2006CB701302);; 国家创新研究群体科学基金资助项目(40721001)
【CateGory Index】: TP751
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【Co-citations】
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