[1] Zhang X P, Zhang Y X, Wang L et al. Current status and future of research and applications for distributed fiber optic sensing technology[J]. Acta Optica Sinica, 44, 0106001(2024).

[2] Zhang X P[M]. Fully distributed optical fiber sensing technology(2013).

[3] Huang L J, Zhou X, Fan X Y et al. Research on multi-mechanism fusion distributed optical fiber sensing technology[J]. Acta Optica Sinica, 44, 0106007(2024).

[4] Bertulessi M, Bignami D F, Boschini I et al. Monitoring strategic hydraulic infrastructures by Brillouin distributed fiber optic sensors[J]. Water, 14, 188(2022).

[5] Wu J H, Liu H, Yang P et al. Identification and monitoring of concrete cracks based on optical frequency domain reflectometry technique[J]. Laser & Optoelectronics Progress, 56, 241201(2019).

[6] Wu N, Wang H T, Zhang Z F et al. Research of transmission line icing wide-area monitoring based on OPGW[J]. Electric Power, 50, 65-70(2017).

[7] Chang Y, Zhong Y B, Gao J et al. Research on distributed optical fiber sensing algorithm for rail transit application[J]. Acoustics and Electronics Engineering, 1-7(2023).

[8] Li Y Q, Zhao L J, Yang Z et al. Design and realization of the submarine cable three-dimensional monitoring system based on BOTDR[J]. Chinese Journal of Scientific Instrument, 35, 1029-1036(2014).

[9] Chen Y, Wang S, Hao Y et al. Temperature monitoring for 500 kV oil-filled submarine cable based on BOTDA distributed optical fiber sensing technology: method and application[J]. IEEE Transactions on Instrumentation and Measurement, 71, 3504510(2022).

[10] Yang S Q, Chen M, Jing H W et al. A case study on large deformation failure mechanism of deep soft rock roadway in Xin’An coal mine, China[J]. Engineering Geology, 217, 89-101(2017).

[11] Shi B, Zhang D, Zhu H H[M]. Distributed fiber optic sensing for Geoengineering monitoring(2019).

[12] Gutscher M A, Quetel L, Murphy S et al. Detecting strain with a fiber optic cable on the seafloor offshore Mount Etna, Southern Italy[J]. Earth and Planetary Science Letters, 616, 118230(2023).

[13] Yang G J, Qian Y H, Zhou Y Y et al. Review on digital signal processing techniques in distributed brillouin fiber sensing systems[J]. Acta Optica Sinica, 44, 0106003(2024).

[14] Bao Y B, Sun J Q, Huang Q. Distributed fiber sensor based on Brillouin optical time domain reflection technique[J]. Laser & Optoelectronics Progress, 57, 210002(2020).

[15] Bai Q, Wang Q L, Wang D et al. Recent advances in Brillouin optical time domain reflectometry[J]. Sensors, 19, 1862(2019).

[16] Sun X Z, Yang Z S, Hong X B et al. Genetic-optimised aperiodic code for distributed optical fibre sensors[J]. Nature Communications, 11, 5774(2020).

[17] Wang Q L, Bai Q, Liang C S et al. Random coding method for SNR enhancement of BOTDR[J]. Optics Express, 30, 11604-11618(2022).

[18] Bi W H, Yang X P, Li J Y et al. Forward and backward Raman amplification of Brillouin scattering signal in Brillouin optical time domain reflectometer system[J]. Chinese Journal of Lasers, 41, 1205007(2014).

[19] Ma X J, Zhou L M, Cheng L H et al. Fast and long-distance Brillouin optical time-domain reflectometry based on Raman amplification[J]. Laser & Optoelectronics Progress, 56, 170617(2019).

[20] Lalam N, Ng W P, Dai X W et al. Performance analysis of Brillouin optical time domain reflectometry (BOTDR) employing wavelength diversity and passive depolarizer techniques[J]. Measurement Science and Technology, 29, 025101(2018).

[21] Li H, Li Y Q, Wang J J. Method to improve the performance of multi wavelength BOTDR sensing system[J]. Optical Communication Technology, 42, 25-28(2018).

[22] Domínguez-López A, López-Gil A, Martín-López S et al. Signal-to-noise ratio improvement in BOTDA using balanced detection[J]. IEEE Photonics Technology Letters, 26, 338-341(2014).

[23] Li Z L, Zhou Y, Hua Z X et al. Balanced detection for performance enhancement in a pulse-coded Brillouin optical time domain analyzer[J]. IEEE Sensors Journal, 23, 1166-1171(2023).

[24] Wang C, Xi L X, Zhang Y A et al. Denoising scheme of BOTDR system using the combination of lifting wavelet threshold and cumulative average[J]. Chinese Journal of Lasers, 48, 1706001(2021).

[25] Zhang Z H, Hu W L, Yan J S et al. The research of optical fiber Brillouin spectrum denoising based on wavelet transform and neural network[J]. Proceedings of SPIE, 8914, 891408(2013).

[26] Farahani M A, Castillo-Guerra E, Colpitts B G. Acceleration of measurements in BOTDA sensors using adaptive linear prediction[J]. IEEE Sensors Journal, 13, 263-272(2013).

[27] Muanenda Y, Taki M, Di Pasquale F. Long-range accelerated BOTDA sensor using adaptive linear prediction and cyclic coding[J]. Optics Letters, 39, 5411-5414(2014).

[28] Zhao J R, Wang T, Zhang Q et al. Signal-to-noise ratio improvement of Brillouin optical time domain analysis system based on empirical mode decomposition and finite impulse response[J]. Applied Optics, 59, 4220-4227(2020).

[29] Zhang L X, Liu Z J, Kang Q H et al. Denoising method for single-ended BOTDA system based on empirical mode decomposition[J]. Semiconductor Optoelectronics, 45, 336-340(2024).

[30] Zhang Q, Wang T, Zhao J R et al. Denoising algorithm for Brillouin optical time-domain analysis sensing systems based on local mean decomposition[J]. Acta Optica Sinica, 41, 1306009(2021).

[31] Zhang Q, Wang T, Zhao J R et al. A dual-adaptive denoising algorithm for Brillouin optical time domain analysis sensor[J]. IEEE Sensors Journal, 21, 22712-22719(2021).

[32] Soto M A, Ramírez J A, Thévenaz L. Intensifying Brillouin distributed fibre sensors using image processing[J]. Proceedings of SPIE, 9634, 96342D(2015).

[33] Soto M A, Ramírez J A, Thévenaz L. Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration[J]. Nature Communications, 7, 10870(2016).

[34] Soto M A, Ramírez J A, Thévenaz L. Optimizing image denoising for long-range Brillouin distributed fiber sensing[J]. Journal of Lightwave Technology, 36, 1168-1177(2018).

[35] Qian X Y, Wang Z N, Sun W et al. Non-local means denoising based on noise level estimation for BOTDA[C](2016).

[36] Qian X Y, Jia X H, Wang Z N et al. Noise level estimation of BOTDA for optimal non-local means denoising[J]. Applied Optics, 56, 4727-4734(2017).

[37] Zhang H, Qian X Y, Wang L et al. Nonlocal means denoising based on LJS for optical sensing signal[M]. Communications, 423, 561-565(2018).

[38] Wu H, Wang L, Zhao Z Y et al. Brillouin optical time domain analyzer sensors assisted by advanced image denoising techniques[J]. Optics Express, 26, 5126-5139(2018).

[39] Zaslawski S, Yang Z S, Thévenaz L. On the 2D post-processing of Brillouin optical time-domain analysis[J]. Journal of Lightwave Technology, 38, 3723-3736(2020).

[40] Soto M A, Yang Z S, Ramírez J A et al. Evaluating measurement uncertainty in Brillouin distributed optical fibre sensors using image denoising[J]. Nature Communications, 12, 4901(2021).

[41] Li J L, Zeng K Y, Yang G J et al. High-fidelity denoising for differential pulse-width pair Brillouin optical time domain analyzer based on block-matching and 3D filtering[J]. Optics Communications, 525, 128866(2022).

[42] Li J L, Zhao C, Zeng K Y et al. Signal-to-noise ratio enhancement using block-matching and 3D filtering for both Brillouin gain and phase spectra in sweep-free Brillouin optical time-domain analyzer[J]. Optical Engineering, 61, 107101(2022).

[43] Liu Y T, Zhang J G, Bai Q et al. Long‑range BOTDR using block matching and 3D filtering algorithm[J]. Chinese Journal of Lasers, 51, 1406002(2024).

[44] Wang B W, Wang L, Yu C Y et al. Long-distance BOTDA sensing systems using video-BM3D denoising for both static and slowly varying environment[J]. Optics Express, 27, 36100-36113(2019).

[45] Luo K, Wang B W, Guo N et al. Enhancing SNR by anisotropic diffusion for Brillouin distributed optical fiber sensors[J]. Journal of Lightwave Technology, 38, 5844-5852(2020).

[46] Zhang P X, Wang B W, Yang Y N et al. SNR enhancement for Brillouin distributed optical fiber sensors based on asynchronous control[J]. Optics Express, 30, 4231-4248(2022).

[47] Wang Y J, Yao H P, Wang J J et al. Distributed optical fiber sensing system for large infrastructure temperature monitoring[J]. IEEE Internet of Things Journal, 9, 3333-3345(2022).

[48] Zhang Y Y, Lu Y G, Zhang Z L et al. Noise reduction by Brillouin spectrum reassembly in Brillouin optical time domain sensors[J]. Optics and Lasers in Engineering, 125, 105865(2020).

[49] Zhang Y Y, Lu Y G, Chen L et al. Segmented noise reduction based on Brillouin-spectrum-partition in Brillouin optical time domain sensors[J]. IEEE Sensors Journal, 21, 22792-22802(2021).

[50] Yuan P, Lu Y G, Zhang Y Y et al. Noise reduction in a Brillouin optical time-domain sensor by a frequency-domain feature filter[J]. Applied Optics, 61, 2667-2674(2022).

[51] Abbasnezhad M, Alizadeh B. FPGA-based implementation of an artificial neural network for measurement acceleration in BOTDA sensors[J]. IEEE Transactions on Instrumentation and Measurement, 68, 4326-4334(2019).

[52] Wang B W, Guo N, Wang L et al. Robust and fast temperature extraction for Brillouin optical time-domain analyzer by using denoising autoencoder-based deep neural networks[J]. IEEE Sensors Journal, 20, 3614-3620(2020).

[53] Yang G J, Zeng K Y, Wang L et al. Integrated denoising and extraction of both temperature and strain based on a single CNN framework for a BOTDA sensing system[J]. Optics Express, 30, 34453-34467(2022).

[54] Wu H, Wan Y Y, Tang M et al. Real-time denoising of Brillouin optical time domain analyzer with high data fidelity using convolutional neural networks[J]. Journal of Lightwave Technology, 37, 2648-2653(2019).

[55] Li B, Jiang N J, Han X L. Denoising of BOTDR dynamic strain measurement using convolutional neural networks[J]. Sensors, 23, 1764(2023).

[56] Li B, Jiang N J, Han X L. Denoising of Brillouin gain spectrum images for improved dynamic measurements of BOTDR[J]. IEEE Photonics Journal, 15, 6801808(2023).

[57] Li W Q, Bai Q, Zan W et al. SNR enhancement for BOTDA by DnCNN and pulse coding[J]. Chinese Journal of Lasers, 51, 1706004(2024).

[58] Zheng H, Yan Y X, Wang Y Y et al. Deep learning enhanced long-range fast BOTDA for vibration measurement[J]. Journal of Lightwave Technology, 40, 262-268(2022).

[59] Liu J Y, Wang T, Zhang Q et al. Rapid noise removal based dual adversarial network for the Brillouin optical time domain analyzer[J]. Optics Express, 29, 34002-34014(2021).

[60] Luo K, Wang Y Y, Zhu B R et al. Noise reduction of brillouin distributed optical fiber sensors based on generative adversarial network[J]. Acta Optica Sinica, 44, 0106024(2024).

[61] Yang Y N, Dong Y, Yu K L. SNR improvement based on attention-DNet for Brillouin distributed optical fiber sensors[C](2022).

[62] Wang Q L, Bai Q, Liu Y T et al. SNR enhancement for BOTDR with spatial-adaptive image denoising method[J]. Journal of Lightwave Technology, 41, 2562-2571(2023).