Fig. 1. Basic structure of GAN model

Fig. 2. Structure of SCGAN

Fig. 3. Experimental device diagram of BOTDA sensing system

Fig. 4. BGS data. (a) Experimental BGS (last 640 m); (b) simulated BGS; (c) cropped experiment BGS

Fig. 5. Test data noise reduction results of different networks. (a) (d) DnCNN; (b) (e) ADNet; (c) (f) BRDNet

Fig. 6. Temperature distribution obtained after denoising test data using BRDNet trained on SCGAN noise

Fig. 7. Comparison of noise reduction effects of three convolutional networks training by two noise on test data at different temperatures. (a) (d) DnCNN; (b) (e) ADNet; (c) (f) BRDNet

Fig. 8. Comparison of noise reduction effect of three convolutional networks training by two noise on test data with different averaging times. (a) (b) DnCNN; (c) (d) ADNet; (e) (f) BRDNet

Fig. 9. Noise analysis. (a) Noisy data; (b) noise generated by SCGAN; (c) Gaussian noise; (d) noise comparison along frequency direction; (e) noise comparison along the direction of sampling point

Fig. 10. Noise histograms. (a) Gaussian noise; (b) SCGAN noise

Fig. 11. Noise amplitude spectra. (a) Gaussian noise; (b) SCGAN generated noise; (c) noise obtained from collected data