Coordinate Attention-Temporal Convolutional Network for Magnetotelluric Data Processing
J Li, H Cheng, J Wang, X Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Magnetotelluric (MT) has significant value in earthquake prediction, space weather
monitoring, mineral resources exploration, and deep Earth structure detection. However …
monitoring, mineral resources exploration, and deep Earth structure detection. However …
[PDF][PDF] 基于稳健估计, 数据筛选和犚犺狅狆犾狌狊约束的大地电磁数据处理方法
王培杰， 陈小斌， 韩鹏， 张昀 - 地球物理学报, 2024 - dsjyj.com.cn
摘要面对处理实测强干扰大地电磁数据的挑战, 本文提出了一种创新的数据处理方法,
名为RobustMulti parameterScreeningMulti angleRhoplusfittingmethod (简称RMSMR) …
名为RobustMulti parameterScreeningMulti angleRhoplusfittingmethod (简称RMSMR) …
GTCN: Gated Temporal Convolutional Networks for Controlled-Source Electromagnetic Data Denoising
To improve the signal-to-noise ratio (SNR) of controlled-source electromagnetic (CSEM)
data observed in strong interference environments, a new deep learning network is …
data observed in strong interference environments, a new deep learning network is …
Identification of the Shaft-rate Electromagnetic Field Induced by a Moving Ship Using Improved Learning-based and Spectral-direction Methods
S Hu, L Zhang, J Tang, G Li, H Yang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The use of the shaft-rate electromagnetic fields generated by moving ships for detection and
sensing purposes has several advantages, including effective target recognition and …
sensing purposes has several advantages, including effective target recognition and …
Long Short-Term Memory Recurrent Network Architectures for Electromagnetic Field Reconstruction Based on Underground Observations
Y Tian, C Xie, Y Wang - Atmosphere, 2024 - mdpi.com
Deep underground laboratories offer advantages for conducting high-precision observations
of weak geophysical signals, benefiting from a low background noise level. Enhancing …
of weak geophysical signals, benefiting from a low background noise level. Enhancing …
Strong interference magnetotelluric data processing method based on robust estimation, data screening and Rhoplus constraint
PJ WANG, XB CHEN, P HAN, YY ZHANG - Chinese Journal of …, 2024 - en.dzkx.org
To address the challenges of processing severely disturbed magnetotelluric data, this paper
proposes an innovative data processing method named the Robust Multi-parameter …
proposes an innovative data processing method named the Robust Multi-parameter …