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	Multimodal remote sensing image registration using multiscale self-similarities
	Sun, Hao ; Lei, Lin ; Zou, Huanxin ; Wang, Cheng ; Wang C(王程)
	2012
关键词	Computer vision Geometry Image reconstruction Remote sensing Satellites
英文摘要	Conference Name:2012 International Conference on Computer Vision in Remote Sensing, CVRS 2012. Conference Address: Xiamen, China. Time:December 16, 2012 - December 18, 2012.; Xiamen University; National University of Defense Technology; Motivated by the recent success of self-similarity in computer vision research, this paper proposed an approach for multimodal remote sensing image registration exploiting multiscale self-similarities (MSS) descriptor and coherent point sets analysis based on Gaussian mixture model (GMM) fitting. Rather than extracting sparse features for matching, we compute MSS descriptor at a regular grid. Point sets are selected according to their MSS descriptor similarity. Experimental results demonstrate the efficiency and the accuracy of the proposed technique for multimodal remote sensing image registration. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/CVRS.2012.6421260
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86812]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Sun, Hao,Lei, Lin,Zou, Huanxin,et al. Multimodal remote sensing image registration using multiscale self-similarities. 2012-01-01.

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