NDLI: A coarse-to-fine image registration method based on visual attention model

Content Provider	Springer Nature Link
Author	Feng, Jing Ma, Long Bi, FuKun Zhang, XueJing Chen, He
Copyright Year	2014
Abstract	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.本文主要从提高遥感图像配准算法效率与准确率角度出发, 受到视觉注意计算模型启发, 提出了一种由粗到精的大视场遥感图像配准策略. 本策略包括基于显著感兴趣区域的粗匹配和局部互相关的精匹配两个过程. 创新点主要包括三个方面: 1) 改进的显著性区域特征提取及干扰区域剔除策略可有效、快速地确定同名匹配特征区域; 2) 由匹配的同名区域, 为后续局部互相关匹配提出了一种初始变换参数提取策略; 3) 互相关优化搜索方法在经过粗匹配筛选的显著感兴趣区域进行, 有效地降低了迭代搜索过程的计算量, 提高算法效率. 实验结果表明, 本文所述方法在多视角、多时段大视场同源遥感图像配准领域有较好的应用效果.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISSN	1674733X
Journal	Science in China Series : Information Sciences
Volume Number	57
Issue Number	12
e-ISSN	18691919
Language	Chinese
Publisher	Science China Press
Publisher Date	2014-12-10
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	remote sensing image registration visual attention similarity measure partial correlation coarse-to-fine process Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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