Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/82221
Title: Long-distance BOTDA sensing systems using video-BM3D denoising for both static and slow varying environment
Authors: Wang, BW 
Wang, L
Yu, CY 
Lu, C 
Issue Date: 2019
Source: Optics express, 2019, v. 27, no. 25, p. 36100-36113
Abstract: In this paper, video block-matching and 3D filtering (VBM3D) denoising has been proposed and experimentally demonstrated for the first time in 100.8 km long-distance Brillouin optical time domain analyzer (BOTDA) sensing system with 2 m spatial resolution. Both experiments under static and slowly varying temperature environment are carried out. A temperature uncertainty of 0.43 degrees C has been achieved with denoising by VBM3D in static temperature measurement. To our knowledge, this is one of the best temperature uncertainty reported for a sensing distance beyond 100 km. The slowly varying temperature at the end of 100.8 Ian fiber has also been accurately measured. VBM3D exploits both the spatial and temporal correlations of the data for denoising, thus it can significantly reduce the temperature fluctuations and keep the measured values close to the real temperature even if the temperature is temporally changing. We believe it would be useful for the long-distance sensing where the measurand may have temporal evolution in the slowly varying environment.
Publisher: Optical Society of America
Journal: Optics express 
EISSN: 1094-4087
DOI: 10.1364/OE.27.036100
Rights: © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement (https://www.osapublishing.org/library/license_v1.cfm#VOR-OA)
© 2019 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
Journal © 2019
The following publication Biwei Wang, Liang Wang, Changyuan Yu, and Chao Lu, "Long-distance BOTDA sensing systems using video-BM3D denoising for both static and slowly varying environment," Opt. Express 27, 36100-36113 (2019) is available at https://dx.doi.org/10.1364/OE.27.036100
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