[1] [1] Karami E, Prasad S, Shehata M. Image matching using SIFT, SURF, BRIEF and ORB: performance comparison for distorted images[C]// Proc. of the 2015 Newfoundland Electrical and Computer Engin. Conf., 2015.

[2] [2] Lowe D G. Distinctive image features from scaleinvariant keypoints[J]. Inter. J. Comp. Vision, 2004, 60(2): 91110.

[3] [3] Su P F, Huang S Q, Wang Y T, et al. Multiscale image registration with SIFT description[J]. Computer Engineering and Science, 2017,39(9): 17001705.

[4] [4] Li Y F, Li G Z. Image mosaic algorithm based on regional block and scale invariant feature transformation[J]. Optical Precision Engin., 2016, 24(5): 11971205.

[5] [5] Zhang L. Research on image matching algorithm based on improved SIFT features[D]. Huainan: Anhui University of Technology, 2019.

[6] [6] Qi X. Remote sensing image registration algorithm based on improved SIFT and improved Kmeans[D]. Shanghai: East China Normal University, 2018.

[7] [7] Dai S, Liu J, Xiang H, et al. Superresolution reconstruction of images based on uncontrollable microscanning and genetic algorithm[J]. Optoelectron. Lett., 2014, 10(4): 313316.

[8] [8] Zhang S K. Research on key technologies of panoramic image stitching[D]. Xian: Xian University of Architecture and Technology, 2018.

[9] [9] Chen Y. Research on fast image stitching based on SIFT feature detection and matching[D]. Changchun: Jilin University, 2017.

[10] [10] He Y L, Yuan Yi. Research on key techniques of panoramic image mosaic[J]. Information Construction, 2016(3): 357.

[11] [11] Zhou J X, Xu M Y, Liu J Q. Image registration method based on improved SIFT algorithm[J]. Industrial Control Computer, 2019, 32(5): 9798, 101.

[12] [12] Lin W B. Research on snake fruit image matching algorithm based on multiangle[D]. Hangzhou: Zhejiang Univ., 2014.

[13] [13] Tomasi C, Kanade T. Detection and tracking of point features[R]. Tech Rep CMUCS91132, Carnegie Mellon University, 1991.