Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration

Marcelo A. Soto (), Jaime A. Ramírez and Luc Thévenaz
Additional contact information
Marcelo A. Soto: EPFL Swiss Federal Institute of Technology, Group for Fibre Optics,
Jaime A. Ramírez: EPFL Swiss Federal Institute of Technology, Group for Fibre Optics,
Luc Thévenaz: EPFL Swiss Federal Institute of Technology, Group for Fibre Optics,

Nature Communications, 2016, vol. 7, issue 1, 1-11

Abstract: Abstract Distributed optical fibre sensors possess the unique capability of measuring the spatial and temporal map of environmental quantities that can be of great interest for several field applications. Although existing methods for performance enhancement have enabled important progresses in the field, they do not take full advantage of all information present in the measured data, still giving room for substantial improvement over the state-of-the-art. Here we propose and experimentally demonstrate an approach for performance enhancement that exploits the high level of similitude and redundancy contained on the multidimensional information measured by distributed fibre sensors. Exploiting conventional image and video processing, an unprecedented boost in signal-to-noise ratio and measurement contrast is experimentally demonstrated. The method can be applied to any white-noise-limited distributed fibre sensor and can remarkably provide a 100-fold improvement in the sensor performance with no hardware modification.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/ncomms10870 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10870

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms10870

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().