Noise reduction analysis of deformation data based on MEEMD-SVD modeling

Qingda Duan; Hua Xia; Chenguang Zhang

doi:10.1117/12.3029112

16 May 2024 Noise reduction analysis of deformation data based on MEEMD-SVD modeling

Qingda Duan, Hua Xia, Chenguang Zhang

Proceedings Volume 13166, International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024); 1316606 (2024) https://doi.org/10.1117/12.3029112
Event: International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024), 2024, Changchun, China

Abstract

Aiming at the uncertainty of high slope deformation data and the problem that the actual deformation trend is easy to be overwhelmed by strong noise, this paper proposes an algorithm based on the coupling of set-averaged empirical modal decomposition (MEEMD) and singular value decomposition (SVD) to realize the noise cancellation of deformation data, firstly, the low-frequency flickering noise is rejected from the deformation data by using MEEMD decomposition to realize the primary filtering of the signal; and then, the SVD decomposition is performed on the obtained IMF components separately to reject the high-frequency white noise of each IMF component. Then, the SVD decomposition of each IMF component is carried out to eliminate the high-frequency white noise of each IMF component to realize the secondary filtering of the signal. The results show that the model has significant noise reduction effect and can fully describe the intrinsic detail information of the deformation data, which provides a fruitful method for future research on the processing of deformation monitoring data.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qingda Duan, Hua Xia, and Chenguang Zhang "Noise reduction analysis of deformation data based on MEEMD-SVD modeling", Proc. SPIE 13166, International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024), 1316606 (16 May 2024); https://doi.org/10.1117/12.3029112

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KEYWORDS

Deformation

Data modeling

Noise cancelling

Wavelets

Denoising

Interference (communication)

Singular value decomposition

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