QQ客服 官方微博 反馈留言

	Improved Nonsubsampled Contourlet Transform for Multi-sensor Image Registration
	Wang R. R. ; Ma J. W. ; Huang H. G. ; Shi W.
	2013
关键词	automatic registration mutual information model
英文摘要	Homologous feature point extraction is a key problem in the multi-sensor image registration. In this paper, a new feature point extraction method using nonsubsampled contourlet transform (NSCT) and an adaptive shrink operator (ASO_NSCT) for multi-sensor image registration is proposed. Moreover, this proposed feature matching is different from the traditional feature matching strategies and is performed using a similarity measure computed from neighborhood circles in low-frequency bands. Then, a number of reliable matched couples with even distributions are obtained, which assures the accuracy of the registration. Applications of the proposed algorithm to different optical images as well as optical and synthetic aperture radar images show that, in each case, a large number of accurate matched couples could be identified. Additionally, the RMSE patterns are analyzed and comparisons of the parameters are carried out between the registration models and the actual ground structures, which further demonstrates the effectiveness of the proposed algorithm.
出处	Photogrammetric Engineering and Remote Sensing
卷	79
期	1
页	51-66
收录类别	SCI
语种	英语
ISSN号	0099-1112
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30195]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Wang R. R.,Ma J. W.,Huang H. G.,et al. Improved Nonsubsampled Contourlet Transform for Multi-sensor Image Registration. 2013.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。