Information Extraction and Noise Suppression of GNSS Landslide Deformation Based on S-Transformation
Abstract We propose a denoising method based on S-transformation for deformation monitoring data. Firstly, we perform time-frequency analysis of the monitoring data by S-transformation, and obtain the two-dimensional time-frequency matrix. Then, we design the time-frequency filter according to the two-dimensional time-frequency matrix. Finally, we use the time-frequency analysis inverse transform method to reconstruct the signal. The effectiveness of the method is verified by simulation data and landslide deformation data. The results show that compared with the wavelet filtering method, the deformation data processed by the S-transformation filtering method is superior in both RMSE and SNR, which can accurately extract the deformation characteristics of the monitoring points.
Key words :
S-transformation
GNSS
deformation monitoring of landslide
wavelet
signal denoising
Cite this article:
YUE Cong,WANG Li,WANG Zhiwei et al. Information Extraction and Noise Suppression of GNSS Landslide Deformation Based on S-Transformation
[J]. jgg, 2020, 40(4): 335-399.
YUE Cong,WANG Li,WANG Zhiwei et al. Information Extraction and Noise Suppression of GNSS Landslide Deformation Based on S-Transformation
[J]. jgg, 2020, 40(4): 335-399.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2020/V40/I4/335
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