文献类型：期刊文献

中文题名：A coarse-to-fine image registration method based on visual attention model

英文题名：A coarse-to-fine image registration method based on visual attention model

作者：Feng Jing[1];Ma Long[1];Bi FuKun[2];Zhang XueJing[3];Chen He[1]

第一作者：Feng Jing

通讯作者：Bi, FK[1]

机构：[1]Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China;[2]North China Univ Technol, Coll Informat Engn, Beijing 100144, Peoples R China;[3]Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China

第一机构：Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China

通讯机构：[1]corresponding author), North China Univ Technol, Coll Informat Engn, Beijing 100144, Peoples R China.

年份：2014

卷号：57

期号：12

起止页码：1-10

中文期刊名：中国科学：信息科学（英文版）

外文期刊名：SCIENCE CHINA-INFORMATION SCIENCES

收录：;EI(收录号：20145100348884);Scopus(收录号：2-s2.0-84918519374);WOS:【SCI-EXPANDED(收录号:WOS:000346238500012)】；

基金：This work was supported by the National Natural Science Foundation of China (Grant Nos. 61171194, 61120106004) and "111" Project of China (Grant No. B14010). The authors would like to thank Dr. JIAO JiChao for his contribution to this manuscript.

语种：英文

中文关键词：图像配准;视觉注意;配准方法;模型;基础;遥感图像;基于特征;优化利用

外文关键词：remote sensing image registration; visual attention; similarity measure; partial correlation; coarse-to-fine process

摘要：Image registration is fundamental and crucial to remote sensing.However getting highly accurate registration performance automatically and fast for large-field images consistently is a challenge.As a work around to this problem,we propose a new image registration concept based on visual attention in this paper.This concept employs the advantages of feature-based or area-based methods to improve the precision and efficiency of image registration.The key concept of proposed integrated scheme is to make optimum use of the highly prominent details in the full scene by means of visual attention computational mechanism.To testify the validation,comparisons with other classical methods are carried out on real-world images.The experimental results show that the proposed method can effectively perform on multi-view/multi-temporal remote sensing images with outstanding precision and time saving performance.
Image registration is fundamental and crucial to remote sensing. However getting highly accurate registration performance automatically and fast for large-field images consistently is a challenge. As a work around to this problem, we propose a new image registration concept based on visual attention in this paper. This concept employs the advantages of feature-based or area-based methods to improve the precision and efficiency of image registration. The key concept of proposed integrated scheme is to make optimum use of the highly prominent details in the full scene by means of visual attention computational mechanism. To testify the validation, comparisons with other classical methods are carried out on real-world images. The experimental results show that the proposed method can effectively perform on multi-view/multi-temporal remote sensing images with outstanding precision and time saving performance.