Application of adaptive NLM denoising algorithm in BOTDA

Ziqiang Huang; Dongming Li; Yafei Feng; Xihai Jiang; Lei Wang

doi:10.1117/12.2590622

18 March 2021 Application of adaptive NLM denoising algorithm in BOTDA

Ziqiang Huang, Dongming Li, Yafei Feng, Xihai Jiang, Lei Wang

Proceedings Volume 11780, Global Intelligent Industry Conference 2020; 117801B (2021) https://doi.org/10.1117/12.2590622
Event: Global Intelligent Industry Conference 2020, 2020, Guangzhou, China

Abstract

The Brillouin Optical Time Domain Analyzer (BOTDA) is based on the Brillouin scattering effect which is sensitive to the temperature and strain of the fiber at the same time. It is widely used in the field of large-scale structural monitoring. With the continuous development of market demand, the dynamics of the original BOTDA equipment The response speed, sensing distance, spatial resolution, and measurement error can no longer meet the application of various scenarios. This puts forward higher requirements for the signal-to-noise ratio of the BOTDA system. The image denoising algorithm based on non-local mean filtering can be Make full use of the similarity between two-dimensional image signals. In this article, we proposed an adaptive image denoising algorithm to be applied to the BOTDA system, and got good results.

Citation Download Citation

Ziqiang Huang, Dongming Li, Yafei Feng, Xihai Jiang, and Lei Wang "Application of adaptive NLM denoising algorithm in BOTDA", Proc. SPIE 11780, Global Intelligent Industry Conference 2020, 117801B (18 March 2021); https://doi.org/10.1117/12.2590622

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