[1] Dengwang ZHOU, Yongkang DONG, Benzhang WANG et al. Single-shot BOTDA based on an optical chirp chain probe wave for distributed ultrafast measurement. Light: Science & Applications, 7, 1-11(2018).

[2] Xihua ZOU, Weilin BAI, Wei CHEN et al. Microwave photonics for featured applications in high-speed railways:communications, detection and sensing. Journal of Lightwave Technology, 36, 4337-4346(2018).

[3] Chengyu HONG, Yifan ZHANG, Guowei LI et al. Recent progress of using Brillouin distributed fiber sensors for geotechnical health monitoring. Sensors & Actuators A Physical, 258, 131-145(2017).

[4] Zhiniu XU, Lijuan ZHAO, Feifei CHEN et al. Temperature and strain sensing mechanisim in polarization maintaining fiber based on Brillouin dynamic grating. Acta Photonica Sinica, 48, 0806001(2019).

[5] Tianming LUO, Weiren CHENG, Linghao CHENG et al. Incident optical power limited by nonlinearities in distributed fiber sensing. Acta Photonica Sinica, 49, 0806003(2020).

[6] Hao LI, Feng WANG, Xiao ZHOU et al. Monitoring of ice coating thickness of tight-buffered OPGW based on Brillouin optical time domain reflectometer. Acta Photonica Sinica, 50, 1106001(2021).

[7] Junchi LAI, Shanglin HOU, Jingli LEI et al. Characteristics of refletion spectrum of Brillouin dynamic grating in single mode fibers. Acta Photonica Sinica, 50, 0706005(2021).

[8] Xinghong JIA, Yunjiang RAO, Liang CHANG et al. Enhanced sensing performance in long distance brillouin optical time-domain analyzer based on Raman amplification: theoretical and experimental investigation. Journal of Lightwave Technology, 28, 1624-1630(2010).

[9] Biwei WANG, Liang WANG, Changyuan YU et al. Long-distance BOTDA sensing systems using video-BM3D denoising for both static and slowly varying environment. Optics Express, 27, 36100-36113(2019).

[10] Keyan ZENG, Guijiang YANG, Shang LIU et al. Enhanced BOTDA sensors based on brillouin phase recovery using Kramers-Kronig relation. IEEE Sensors Journal, 21, 22775-22782(2021).

[11] Huan WU, Liang WANG, Nan GUO et al. Brillouin optical time-domain analyzer assisted by support vector machine for ultrafast temperature extraction. Journal of Lightwave Technology, 35, 4159-4167(2017).

[12] Yongqian LI, Jianjian WANG. Optimized neural network for temperature extraction from Brillouin scattering spectra. Optical Fiber Technology, 58, 102314(2020).

[13] N D NORDIN, F ABDULLAH, M S D ZAN et al. Fast temperature extraction approach for BOTDA using Generalized Linear Model(2020).

[14] M Z ALOM, T M TAHA, C YAKOPCIC et al. A state-of-the-art survey on deep learning theory and architectures. Electronics, 8, 292-358(2019).

[15] A SHRESTHA, MAHMOOD . Review of deep learning algorithms and architectures. IEEE Access, 7, 53040-53065(2019).

[16] A K AZAD, Liang WANG, Nan GUO et al. Signal processing using artificial neural network for BOTDA sensor system. Optics Express, 24, 6769-6782(2016).

[17] Wenhao XUE. Research and implementation of time series trend prediction based on machine learning, 15-18(2020).

[18] S HOCHREITER, J SCHMIDHUBER. Long short-term memory, 9, 1735-1780(1997).

[19] Chongyu LU, Yongxin LIANG, Xinghong JIA et al. Artificial neural network for accurate retrieval of fiber Brillouin frequency shift with non-local effects. IEEE Sensors Journal, 20, 8559-8569(2020).

[20] H IRIBAS, J MARINELARENA, C FENG et al. Effects of pump pulse extinction ratio in Brillouin optical time-domain analysis sensors. Optics Express, 25, 27896-27912(2017).

[21] S F BOLL. Suppression of acoustic noise in speech using spectral subtraction. IEEE Transactions on Acoustics, Speech, and Signal Processing, 27, 113-120(1979).

[22] Chun YANG, Yintao LI, Wei SONG et al. Preprocessing method of monitoring data for cable breaking prevention based on Φ-OTDR optical fiber sensor. Laser&Infrared, 51, 486-492(2021).

[23] Kuanglu YU, Nan GUO, Zhiyuan CAO et al. Fast information acquisition using spectra subtraction for Brillouin distributed fiber sensors. Optics Express, 27, 9696-9704(2019).

[24] A H ELSHEIKH, V P KATEKAR, O L MUSKENS et al. Utilization of LSTM neural network for water production forecasting of a stepped solar still with a corrugated absorber plate. Process Safety and Environmental Protection, 148, 273-282(2020).

[25] Daoquan WEI, Huiqin WANG, Ke WANG et al. Pigment classification method of mural sparse multi-spectral image based on space spectrum joint feature. Acta Photonica Sinica, 51, 0430002(2022).