Intensifying Brillouin distributed fibre sensors using image processing

Marcelo A. Soto; Jaime A. Ramírez; Luc Thévenaz

doi:10.1117/12.2205310

28 September 2015 Intensifying Brillouin distributed fibre sensors using image processing

Marcelo A. Soto, Jaime A. Ramírez, Luc Thévenaz

Proceedings Volume 9634, 24th International Conference on Optical Fibre Sensors; 96342D (2015) https://doi.org/10.1117/12.2205310
Event: International Conference on Optical Fibre Sensors (OFS24), 2015, Curitiba, Brazil

Abstract

Image processing is proposed to enhance the performance of Brillouin distributed fibre sensors. The technique exploits the two-dimensional nature of the measurements, so that each frequency-position pair is assimilated to a pixel of a noisy image. Based on the level of redundancy existing in the two-dimensional information, the method offers unmatched denoising capabilities when compared to classic unidimensional denoising methods, even if those ones are consecutively used in distance and frequency domains. With no modification of the basic configuration, up to ~14 dB SNR improvement is experimentally demonstrated with unobservable loss of spatial resolution. A figure-of-merit of 115’000 is verified.

Citation Download Citation

Marcelo A. Soto, Jaime A. Ramírez, and Luc Thévenaz "Intensifying Brillouin distributed fibre sensors using image processing", Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96342D (28 September 2015); https://doi.org/10.1117/12.2205310

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