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The registration of UAV down-looking aerial images to satellite images with image entropy and edges
Fan BJ(范保杰); Du YK(杜英魁); Zhu LL(朱琳琳); Tang YD(唐延东)
Department机器人学研究室
Conference Name3rd International Conference on Intelligent Robotics and Applications, ICIRA 2010
Conference DateNovember 10-12, 2010
Conference PlaceShanghai, China
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Publication PlaceHeidelberg, Germany
2010
Pages609-617
Indexed ByEI ; CPCI(ISTP)
EI Accession number20175104549550
WOS IDWOS:000324576300059
Contribution Rank1
ISSN0302-9743
ISBN978-3-642-16583-2
KeywordAlgorithms Deformation Entropy Image Registration Robotics Satellites Template Matching
AbstractIn this paper, we propose a novel and efficient image registration algorithm between high resolution satellite images and UAV down-looking aerial images. The algorithm is achieved by a composite deformable template matching. To overcome the limitations of environment changes and different sensors, and to remain image information, we fuse the image edge and entropy features as image representation. According to the altitude information of the UAV, we can get the scales of the down-looking aerial images relative to the satellite images. In the following, we perform an effective search strategy in the satellite images to find the best matching position. Different experimental results show that the proposed algorithm is effective and robust. © 2010 Springer-Verlag.
Language英语
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8914
Collection机器人学研究室
Affiliation1.State Key laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, 110016, China
2.Graduate School of the Chinese Academy of Science, Beijing, 100039, China
Recommended Citation
GB/T 7714
Fan BJ,Du YK,Zhu LL,et al. The registration of UAV down-looking aerial images to satellite images with image entropy and edges[C]. Heidelberg, Germany:Springer Verlag,2010:609-617.
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