[2] [2] HU B B,NUSS M C. Imaging with terahertz waves[J]. Optics Letters, 1995,20(16):1716-1718.

[3] [3] XU J M, CHEN L, ZANG X F, et al. Triple-channel terahertz filter based on mode coupling of cavities resonance system[J]. Applied Physics Letters, 2013,103(16):161116.

[10] [10] DOSOVITSKIY A,BEYER L,KOLESNIKOV A.et al. An image is worth 16x16 words:transformers for image recognition at scale [C]// International Conference on Learning Representations. New Orleans:[s.n.], 2021:1-22.

[11] [11] GOODFELLOW I J,POUGET-ABADIE J,MIRZA M,et al. Generative adversarial nets[C]// Proceedings of the 27th International Conference on Neural Information Processing Systems. Montreal,Canada:MIT Press, 2014:2672-2680.

[12] [12] SZEGEDY C, LIU W, JIAY Q, et al. Going deeper with convolutions[C]// IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Boston,USA:IEEE, 2015:1-9.

[13] [13] VASWANI A,SHAZEER N,PARMAR N,et al. Attention is all you need[J]. Advances in Neural Information Processing Systems, 2017,22(7):139-147.

[14] [14] LEDIG C,THEIS L,HUSZAR F,et al. Photo-realistic single image super-resolution using a generative adversarial network[C]// IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Honolulu,USA:IEEE, 2017:105-114.

[15] [15] RONNEBERGER O,FISCHER P, BROX T. U-Net: convolutional networks for biomedical image segmentation[C]// International Conference on Medical Image Computing and Computer-Assisted Intervention. Munich:[s.n.], 2015:234-241.

[16] [16] HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]// IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Las Vegas:IEEE, 2016:770-778.