[1] Federici J F, Schulkin B, Huang F et al. THz imaging and sensing for security applications—Explosives, weapons and drugs[J]. Semiconductor Science and Technology, 20, S266-S280(2005).
[2] Zhou Q L, Zhang C L, Li W W et al. Studies on the detection and identification of the explosives in the terahertz range[C], 6840, 218-225(2008).
[3] Fu X J, Liu Y J, Chen Q et al. Applications of terahertz spectroscopy in the detection and recognition of substances[J]. Frontiers in Physics, 10, 869537(2022).
[4] Gao A, Cheng Y, Li B C et al. Research on the classification and standardization of express packaging[J]. China Standardization, 15, 118-121(2022).
[6] Exter M, Fattinger C, Grischkowsky D. Terahertz time-domain spectroscopy of water vapor[J]. Optics Letters, 14, 1128-1130(1989).
[7] Xie Q, Yang H R, Li H G et al. Explosive identification based on terahertz time-domain spectral system[J]. Optics and Precision Engineering, 24, 2392-2399(2016).
[8] Li T, Zhang L, He J A et al. Terahertz time-domain spectroscopy for identification of hazardous substances in mail[J]. Spectroscopy and Spectral Analysis, 39, 3724-3730(2019).
[9] Brahm A, Tymoshchuk M, Wichmann F et al. Wavelet based identification of substances in terahertz tomography measurements[J]. Journal of Infrared, Millimeter, and Terahertz Waves, 35, 974-986(2014).
[10] Dorney T D, Baraniuk R G, Mittleman D M. Material parameter estimation with terahertz time-domain spectroscopy[J]. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 18, 1562-1571(2001).
[11] Radunovic D P[M]. Wavelets, 1-30(2009).
[12] Zhang Z T, Ding F, Luo Y et al. Application of wavelet threshold denoising in processing of divertor spectral signal[J]. Chinese Journal of Quantum Electronics, 39, 307-315(2022).
[13] Chollet F. Xception: Deep learning with depthwise separable convolutions[C], 1800-1807(2017).
[14] Szegedy C, Vanhoucke V, Ioffe S et al. Rethinking the inception architecture for computer vision[C], 2818-2826(2016).
[15] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[16] Pan S J, Yang Q. A survey on transfer learning[C], 22, 1345-1359.
[17] Deng J, Dong W, Socher R et al. ImageNet: A large-scale hierarchical image database[C], 248-255(2009).