OPT OpenIR  > 月球与深空探测技术研究室
Multi-spectral image level-by-level registration algorithm based on A-KAZE feature
Li, Hongyu1,2; Xue, Bin1; Li, Yongfang2; Tao, Jinyou1; Zhou, Shaopan1; Guan, Zhao1
2019
Conference Name5th Symposium on Novel Optoelectronic Detection Technology and Application
Source PublicationFifth Symposium on Novel Optoelectronic Detection Technology and Application
Volume11023
Conference Date2018-10-24
Conference PlaceXi'an, China
PublisherSPIE
Contribution Rank1
AbstractAiming at the problem that he gray level of different spectral images varies greatly and the traditional feature extraction algorithm is difficult to maintain the local precision and edge detail of the image, a multi-channel multi-spectral image registration method based on A-KAZE algorithm. In the registration process, the Fast Explicit Diffusion (FED) numerical analysis framework is used to solve the nonlinear diffusion filter equation, and the nonlinear scale space is constructed. The feature points are obtained by calculating the Hessian matrix of each pixel; The invariant image feature vectors are constructed by the Modified-Local Difference Binary (M-LDB) descriptor. Then, the feature vectors are matched by KNN using Hamming distance, and the mismatched points are eliminated by M-estimator Sample Consensus (MSAC). Finally, the transformation matrix is calculated based on projection transformation model. For multi-channel multi-spectral images, the optimal registration route is calculated by level-by-level registration method, and the image registration is realized by registration strategy and transformation matrix. Multispectral phenological observation data were selected to verify the image registration effect of the algorithm, and compared with SIFT, SURF, KAZE algorithm. Experimental results show that this method can achieve sub-pixel registration accuracy on any two images, and has strong robustness and faster speed. © 2019 SPIE.
Department月球与深空探测技术研究室
DOI10.1117/12.2521791
Indexed ByEI
ISBN9781510627123
Language英语
ISSN0277786X; 1996756X
EI Accession Number20191506748630
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31383
Collection月球与深空探测技术研究室
Affiliation1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an; 710119, China;
2.Shaanxi Normal University, Xi'an; 710100, China
Recommended Citation
GB/T 7714
Li, Hongyu,Xue, Bin,Li, Yongfang,et al. Multi-spectral image level-by-level registration algorithm based on A-KAZE feature[C]:SPIE,2019.
Files in This Item:
File Name/Size DocType Version Access License
Multi-spectral image(392KB)会议论文 暂不开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Hongyu]'s Articles
[Xue, Bin]'s Articles
[Li, Yongfang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Hongyu]'s Articles
[Xue, Bin]'s Articles
[Li, Yongfang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Hongyu]'s Articles
[Xue, Bin]'s Articles
[Li, Yongfang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.