地震地磁观测与研究2026，Vol.47Issue(1)：36-47,12.DOI:10.3969/j.issn.1003-3246.2026.01.006
针对分布式光纤传感数据的残差注意力机制去噪方法研究
A residual attention-based denoising method for distributed acoustic sensing data
摘要
Abstract
To address the limitations of traditional denoising methods for processing complex seismic data acquired via Distributed Acoustic Sensing(DAS),this paper proposes a deep learning-based denoising approach incorporating a residual attention mechanism.Traditional methods,such as the short-time Fourier transform and the wavelet transform,typically assume that noise is stationary or concentrated in specific frequency bands.However,background noise in real seismic data is often non-stationary,making traditional methods less effective under high-noise or complex conditions.To overcome these limitations,we propose the DAS-DnAttn model,which integrates a residual neural network(ResNet)with attention mechanisms.This model effectively captures noise features through residual learning and adaptively enhances useful signal features while suppressing complex background noise via channel and spatial attention mechanisms.In addition,the PhaseNet DAS tool is used to pick the P-and S-wave arrival times,providing a quantitative assessment of the proposed method's denoising performance and practical applicability.Experimental results demonstrate that the DAS-DnAttn model achieves superior denoising performance on synthetic data,real seismic records,and field-measured DAS earthquake data.Compared to traditional denoising methods(e.g.,DnCNN and BM3D),our approach significantly improves both signal-to-noise ratio(SNR)and peak signal-to-noise ratio(PSNR),while better preserving signal details.This study provides a more robust and effective deep learning solution for denoising DAS seismic data and holds substantial promise for enhancing the accuracy of seismic phase picking in practical applications.关键词
分布式光纤传感/地震数据去噪/残差注意力机制/深度学习/信号处理Key words
DAS/seismic data denoising/residual attention mechanism/deep learning/signal processing引用本文复制引用
李雨杭,滕开良,何佳隆..针对分布式光纤传感数据的残差注意力机制去噪方法研究[J].地震地磁观测与研究,2026,47(1):36-47,12.基金项目
广西引进人才科研启动项目(项目编号:2023KJQD28) （项目编号:2023KJQD28）
