[1] FAN Fan. Research on the Infrared Scene Based Nonuniformity Correction Algorithm[D]. Wuhan: Huazhong University of Science and Technology, 2015.

[2] HOU Huixin, LI Qing, LIU Shangqian, et al. Nonuniformity and its correction principle of infrared focal plane arrays[J]. Laser & Infrared, 2003, 3(6): 46-48.

[3] ZHOU Huixin, LI Qing, LIU Shangqian, et al. Nonuniformity and its correction principle of infrared focal plane arrays[J]. Laser & Infrared, 2003, 3(6): 46-48.

[4] Scribner D A, Sarkady K A, Kruer M R, et al. Adaptive nonuniformity correction for IR focal-plane arrays using neural networks[C]// International Society for Optics and Photonics, 1991: 100-109.

[5] MOU Xingang, CUI Jian, ZHOU Xiao. Infrared image non-uniformity correction algorithm based on full convolutional network[J]. Infrared Technology, 2022, 44(1): 21-27.

[6] LU Junjie. Nonuniform Image Correction for Infrared Detector Based on Deep Learning[D]. Wuhan: Wuhan University of Technology, 2020.

[7] HE Zewei, CAO Yanpeng, DONG Jiangxin, et al. Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: a deep-learning approach[J]. Applied Optics, 2018, 57(18): 155-164.

[8] Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[C]//Medical Image Computing and Computer-Assisted Intervention-MICCAI, 2015: 234-241.

[9] JIE H, LI S, GANG S. Squeeze-and-Excitation Networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 42(8): 2011-2023.

[10] JIANG Y, TAN Z, WANG J, et al. GiraffeDet: a heavy-neck paradigm for object detection[J/OL]. arXiv, 2022, https://www.researchgate.net/ publication/358493689_GiraffeDet_A_Heavy-Neck_Paradigm_for_ Object_Detection.

[11] LIU F, XU H, QI M, et al. Depth-wise separable convolution attention module for garbage image classification[J]. Sustainability, 2022, 14(5): 1-18.

[12] Szegedy C, LIU W, JIA Y, et al. Going deeper with convolutions[J/OL]. IEEE Computer Society, 2014, https://ieeexplore.ieee.org/document/ 7298594.

[13] Bal A, Alam M S. Automatic target tracking in FLIR image sequences[C]//Proceedings of SPIE - The International Society for Optical Engineering, 2005, 54(5): 1846-1852.

[14] Berg A, Ahlberg J, Felsberg M. A thermal object tracking benchmark[C]// IEEE International Conference on Advanced Video & Signal Based Surveillance, 2015, DOI:10.1109/AVSS.2015.7301772.

[15] Channappayya S S, Bovik A C, Heath R W. Rate bounds on SSIM index of quantized images[J]. IEEE Transactions on Image Processing, 2008, 17(9): 1624-1639.

[16] Mathieu M, Couprie C, Lecun Y. Deep multi-scale video prediction beyond mean square error[C/OL]//ICLR, 2016, http://arxiv.org/ pdf/1511.05440.pdf.

[17] CUI Jian. Research on Non-Uniformity Correction Algorithm of Infrared Detector Based on Deep Learning[D]. Wuhan: Wuhan University of Technology, 2021.

[18] Howard A G, ZHU M, Chen B. et al. MobileNets: efficient convolutional neural networks for mobile vision applications[J/OL]. arXiv preprint arXiv: 1704.04861, 2017, https://arxiv.org/abs/1704.04861.

[19] Howard A, Sandler M, Chu G et al. Searching for MobileNetV3[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019: 1314-1324.

[20] LIU Z, MAO H, WU C Y, et al. A ConvNet for the 2020s[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022: 11966-11976.

[21] HAN K, WANG Y, TIAN Q, et al. GhostNet: more features from cheap operations[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 1577-1586.

[22] ZUO C, CHEN Q, GU G, et al. New temporal high-pass filter nonuniformity correction based on bilateral filter[J]. Optical Review, 2011, 18: 197-202.

[23] HE Zewei, CAO Yanpeng, DONG Yafei, et al. Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: a deep-learning approach[J]. Applied Optics, 2018, 57: D155-D164.

[24] XU K, ZHAO Y, LI F, et al. Single infrared image stripe removal via deep multi-scale dense connection convolutional neural network[J]. Infrared Physics and Technology, 2022(121): 104008-104008. Doi: 10.1016/j. infrared.2021.104008.