[1] WU Y, BAI Z F, GONG M G et al. Application of swarm intelligence and a bioinspired computing algorithm in remote sensing image registration[J]. Scientia Sinica Technologica, 53, 147-166(2023).

[2] LI Y H, LIU Y D, SU X P et al. Review of infrared and visible image registration[J]. Infrared Technology, 44, 641-651(2022).

[3] TONG X H, YE Z, XU Y S et al. Image registration with Fourier-based image correlation: a comprehensive review of developments and applications[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 4062-4081(2019).

[4] HASKINS G, KRUGER U, YAN P K. Deep learning in medical image registration: a survey[J]. Machine Vision and Applications, 31, 8(2020).

[5] CHEN J M, ZENG X J, ZHONG L Y et al. Research progress of image registration methods based on deep learning[J]. Chinese Journal of Quantum Electronics, 39, 899-926(2022).

[6] SUN X B, LI Y C, WANG E Q et al. A fast registration method for UAV video frames[J]. Bulletin of Surveying and Mapping, 77-80(2019).

[7] LI J P, CHEN Y, WANG D Z. Simulation of remote sensing image registration for fusing attention and networks in network[J]. Computer Simulation, 39, 42-47(2022).

[8] WANG H Q, XU T F, SUN X L et al. Infrared-visible video registration with matching motion trajectories of targets[J]. Optics and Precision Engineering, 26, 1533-1541(2018).

[9] ZHAI Y W, LIU Y, LI H et al. Weak signal measurement in thermoreflectance temperature testing based on stochastic resonance[J]. Acta Metrologica Sinica, 43, 355-359(2022).

[10] WANG Y B, LIANG W S, ZHAO Y. Image registration evaluation algorithm for visual SLAM[J]. Internet of Things Technologies, 12, 27-30(2022).

[11] SUN X L, HAN G L, GUO L H et al. Infrared-visible video automatic registration with contour feature matching[J]. Optics and Precision Engineering, 28, 1140-1151(2020).

[12] WANG Z J, CHAO Y F. Image registration algorithm using SURF feature and local cross-correlation information[J]. Infrared and Laser Engineering, 51, 20210950(2022).

[13] YE S T, WEN X Q. TaiChi video registration method based on joint angle and DTW[J]. Computing Technology and Automation, 39, 117-122(2020).

[14] DONG X Y, YU S I, WENG X S et al. Supervision-by-registration: an unsupervised approach to improve the precision of facial landmark detectors[C], 360-368(2018).

[15] CHEN L, CHEN Y, LI W J et al. Residual block improves remote sensing image registration of SiameseNetwork[J]. Computer Simulation, 39, 224-229(2022).

[16] WANG P. Static image registration algorithm in high-precision video registration algorithm[J]. Chinese Journal of Liquid Crystals and Displays, 35, 612-618(2020).

[17] FU T, DENG C Z, HAN X Y et al. Infrared and visible image registration for power equipments based on deep learning[J]. Infrared Technology, 44, 936-943(2022).

[18] BALAKRISHNAN G, ZHAO A, SABUNCU M R et al. An unsupervised learning model for deformable medical image registration[C], 9252-9260(2018).

[19] DE VOS B D, BERENDSEN F F, VIERGEVER M A et al. A deep learning framework for unsupervised affine and deformable image registration[J]. Medical Image Analysis, 52, 128-143(2019).

[20] QIU H Y, CHEN H Y. Infrared image and visible image registration based on depth learning theory[J]. Laser Journal, 43, 164-168(2022).

[21] GHANEM B, ZHANG T, AHUJA N. Robust video registration applied to field-sports video analysis[C], 2(2012).

[22] BAI Z W, LI Y, CHEN X H et al. Real-time video stitching for mine surveillance using a hybrid image registration method[J]. Electronics, 9, 1336(2020).

[23] DUAN L F, HOU X G, HU Z Y. Infrared and visible image registration based on NSCT contour and main direction consistency[J]. Electronics Optics & Control, 29, 1-5(2022).

[24] YANG N, YANG Y, LI P et al. Research on infrared and visible image registration of substation equipment based on multi-scale Retinex and ASIFT features[C], 1191303(2021).

[25] WANG X F, XIANG G Q, WEI W. Fast registration algorithm for face in video based on alignment metric[J]. Transducer and Microsystem Technologies, 38, 122-125, 132(2019).

[26] ZUO C, QIAN J M, FENG S J et al. Deep learning in optical metrology: a review[J]. Light: Science & Applications, 11, 39(2022).