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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
会议名称5th Symposium on Novel Optoelectronic Detection Technology and Application
会议录名称Fifth Symposium on Novel Optoelectronic Detection Technology and Application
卷号11023
会议日期2018-10-24
会议地点Xi'an, China
出版者SPIE
产权排序1
摘要

Aiming 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.

作者部门月球与深空探测技术研究室
DOI10.1117/12.2521791
收录类别EI ; CPCI
ISBN号9781510627123
语种英语
ISSN号0277786X; 1996756X
WOS记录号WOS:000464731500057
EI入藏号20191506748630
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/31383
专题月球与深空探测技术研究室
作者单位1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an; 710119, China;
2.Shaanxi Normal University, Xi'an; 710100, China
推荐引用方式
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.
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