Ore-controlling structures of the Xiangshan volcanic Basin, SE China: Revealed from three-dimensional inversion of Magnetotelluric data
J Deng, H Yu, H Chen, Z Du, H Yang, H Li, S Xie… - Ore Geology …, 2020 - Elsevier
We report a high-resolution three-dimensional (3D) Magnetotelluric (MT) study to define the
mineralizing system of the Xiangshan (XS) volcanic Basin, which hosts the largest volcanic …
mineralizing system of the Xiangshan (XS) volcanic Basin, which hosts the largest volcanic …
Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode …
Controlled-source electromagnetic (CSEM) data recorded in industrialized areas are
inevitably contaminated by strong cultural noise. Traditional noise attenuation methods are …
inevitably contaminated by strong cultural noise. Traditional noise attenuation methods are …
Denoising of magnetotelluric data using K‐SVD dictionary training
J Li, Y Peng, J Tang, Y Li - Geophysical Prospecting, 2021 - earthdoc.org
Magnetotelluric is one of the mainstream exploration geophysical methods, which plays a
vital role in studying deep geological structures and finding deep hidden blind ore bodies …
vital role in studying deep geological structures and finding deep hidden blind ore bodies …
Deep learning optimized dictionary learning and its application in eliminating strong magnetotelluric noise
G Li, X Gu, Z Ren, Q Wu, X Liu, L Zhang, D Xiao… - Minerals, 2022 - mdpi.com
The noise suppression method based on dictionary learning has shown great potential in
magnetotelluric (MT) data processing. However, the constraints used in the existing …
magnetotelluric (MT) data processing. However, the constraints used in the existing …
Identification and suppression of magnetotelluric noise via a deep residual network
The magnetotelluric (MT) method is widely applied in petroleum, mining, and deep Earth
structure exploration but suffers from cultural noise. This noise will distort apparent resistivity …
structure exploration but suffers from cultural noise. This noise will distort apparent resistivity …
[HTML][HTML] Synthesizing magnetotelluric time series based on forward modeling
P Wang, X Chen, Y Zhang - Frontiers in Earth Science, 2023 - frontiersin.org
The validity of magnetotelluric time-series processing methods has been lacking reasonable
testing criteria. Since the time series synthesized by existing techniques are not fully derived …
testing criteria. Since the time series synthesized by existing techniques are not fully derived …
Low-Frequency Magnetotelluric Data Denoising Using Improved Denoising Convolutional Neural Network and Gated Recurrent Unit
The magnetotelluric (MT) signals are susceptible to anthropogenic noise and the existing
denoising methods have significant shortcomings in low-frequency situations. To address …
denoising methods have significant shortcomings in low-frequency situations. To address …
Magnetotelluric noise attenuation using a deep residual shrinkage network
Magnetotelluric (MT) surveying is an essential geophysical method for mapping subsurface
electrical conductivity structures. The MT signal is susceptible to cultural noise, and the …
electrical conductivity structures. The MT signal is susceptible to cultural noise, and the …
Separation of magnetotelluric signals based on refined composite multiscale dispersion entropy and orthogonal matching pursuit
X Zhang, J Li, D Li, Y Li, B Liu, Y Hu - Earth, Planets and Space, 2021 - Springer
Magnetotelluric (MT) data processing can increase the reliability of measured data.
Traditional MT data denoising methods are usually applied to entire MT time-series, which …
Traditional MT data denoising methods are usually applied to entire MT time-series, which …
Identification and Suppression of Multi-component Noise in Audio Magnetotelluric based on Convolutional Block Attention Module
Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However,
the weak energy of AMT signals makes them susceptible to being overwhelmed by noise …
the weak energy of AMT signals makes them susceptible to being overwhelmed by noise …