• Laser & Optoelectronics Progress
  • Vol. 60, Issue 6, 0610007 (2023)
Weidong Zhao, Junde Liu*, Manman Wang, and Dan Li
Author Affiliations
  • School of Electrical and Information Engineering, Anhui University of Technology, Maanshan243032, Anhui , China
  • show less
    DOI: 10.3788/LOP213215 Cite this Article Set citation alerts
    Weidong Zhao, Junde Liu, Manman Wang, Dan Li. Fast Image Registration Method Based on Improved AKAZE Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0610007 Copy Citation Text show less
    References

    [1] Han M, Yan K, Qin G S. A mosaic algorithm for UAV aerial image with improved KAZE[J]. Acta Automatica Sinica, 45, 305-314(2019).

    [2] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004).

    [3] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008).

    [4] Song W, Wang Y B. UAV image registration based on improved AKAZE algorithm[J]. Journal of Electronic Measurement and Instrumentation, 32, 96-102(2018).

    [5] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF[C], 2564-2571(2011).

    [6] Liu T C, Song Y S, Li J W et al. Improved algorithm for high-resolution image stitching based on ORB features[J]. Laser & Optoelectronics Progress, 58, 0810004(2021).

    [7] Zou B, Zhao X H, Yin Z S. Image feature matching algorithm based on improved ORB[J]. Laser & Optoelectronics Progress, 58, 0210006(2021).

    [8] Alcantarilla P F, Bartoli A, Davison A J. KAZE features[M]. Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science, 7577, 214-227(2012).

    [9] Yan K. Research on aerial image stitching technology based on KAZE and GMS[D](2018).

    [10] Alcantarilla P, Nuevo J, Bartoli A. Fast explicit diffusion for accelerated features in nonlinear scale spaces[C], 13.1-13.11(2013).

    [11] Li D, Xu Q N. Remote sensing image registration algorithm based on grid motion constraints[J]. Computer Engineering and Design, 41, 1947-1951(2020).

    [12] Alahi A, Ortiz R, Vandergheynst P. FREAK: fast retina keypoint[C], 510-517(2012).

    [13] Leutenegger S, Chli M, Siegwart R Y. BRISK: binary robust invariant scalable keypoints[C], 2548-2555(2011).

    [14] Chen Y T, Xu W, Piao Y J et al. Remote sensing image target recognition based on fast retina key point local invariant feature[J]. Chinese Journal of Scientific Instrument, 37, 852-859(2016).

    [15] Wang C J, Sun T, Chen J. Rapid scene matching based on FREAK descriptor[J]. Journal of Electronic Measurement and Instrumentation, 29, 204-212(2015).

    [16] Bian J W, Lin W Y, Matsushita Y et al. GMS: grid-based motion statistics for fast, ultra-robust feature correspondence[C], 2828-2837(2017).

    [17] Zhu C D, Li Z W, Wang K et al. Image matching algorithm based on improved RANSAC-GMS[J]. Journal of Computer Applications, 39, 2396-2401(2019).

    [18] Wang P, Zhu R Z, Sun C K. Point cloud coarse registration algorithm with scene classification based on improved RANSAC[J]. Laser & Optoelectronics Progress, 57, 041510(2020).

    [19] Mikolajczyk K. Affine covariant feature[EB/OL]. http:∥www.robots.ox.ac.uk/~vgg/research/affine/

    [20] Zou Q, Ni L H, Zhang T et al. Deep learning based feature selection for remote sensing scene classification[J]. IEEE Geoscience and Remote Sensing Letters, 12, 2321-2325(2015).