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《Science of Surveying and Mapping》 2013-05
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A study of dense matching method based on UAV image

CAI Long-zhou;YU Tao;XIE Dong-hai;WU Yu;ZHENG Feng-jie;MENG Xiu-jun;School of Surveying and Land Information Engineering,Henan Polytechnic University;Remote Sensing Calibration and Authenticity Inspection Laboratory,Institute of Remote Sensing Applications of Chinese Academy of Sciences;  
A method of UAV image-dense matching based on FAST algorithm was proposed in this paper. Firstly,it is to extract image feature points using the FAST algorithm,and use the normalized cross-correlation relationship algorithm to match two feature point sets,then the fundamental and homographic matrixes were estimated by the robustness of the RANSAC algorithm according to the early matching results. All the points could be matched stably by the Epipolar constraint and Homography constraint through normalized cross-correlation relationship. The experiments showed that the matched results with the method were satisfactory.
【Fund】: 民用航天预研项目(Y1K00200KJ);; 无人机作业控制系统软件研发(08Y02910KB);; 欧盟第七框架项目(EU-FP7)(247608)
【CateGory Index】: TP391.41;P237
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【Citations】
Chinese Journal Full-text Database 7 Hits
1 YUAN Xiuxiao1,2,MING Yang11.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430049,China;2.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430049,China;A Novel Method of Multi-image Matching Using Image and Space Synthesis Information[J];Acta Geodaetica et Cartographica Sinica;2009-03
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 DONG Ming-li~(1,2),WANG Zhen-hua~2,ZHU Lian-qing~2,SUN Yu-nan~1,L(U|¨)Nai-guang~2 (1.Department of Optic-electronic Engineering,Beijing Institute of Technology,Beijing 100081,China; 2.School of Optie-electronic Engineering,Beijing Information Science & Technology University,Beijing 100192,China);Stereo Vision Image Matching Based on RANSAC Algorithm[J];Journal of Beijing University of Technology;2009-04
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