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.
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