相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data
Guang Li et al.
GEOPHYSICS (2023)
Physics-Driven Deep Learning Inversion for Direct Current Resistivity Survey Data
Bin Liu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2023)
Transdimensional Bayesian inversion of magnetotelluric data in anisotropic layered media with galvanic distortion correction
Ronghua Peng et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2022)
Instantaneous Inversion of Airborne Electromagnetic Data Based on Deep Learning
Sihong Wu et al.
GEOPHYSICAL RESEARCH LETTERS (2022)
A Deep Learning Estimation of the Earth Resistivity Model for the Airborne Transient Electromagnetic Observation
Xin Wu et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2022)
Physics-Driven Deep Learning Inversion with Application to Magnetotelluric
Wei Liu et al.
REMOTE SENSING (2022)
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu et al.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks
Vladimir Puzyrev et al.
COMPUTERS & GEOSCIENCES (2021)
Physics-driven deep-learning inversion with application to transient electromagnetics
Daniele Colombo et al.
GEOPHYSICS (2021)
Recovering 3D Basement Relief Using Gravity Data Through Convolutional Neural Networks
Siyuan He et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2021)
Deep learning audio magnetotellurics inversion using residual-based deep convolution neural network
Zhengguang Liu et al.
JOURNAL OF APPLIED GEOPHYSICS (2021)
Application of Sample-Compressed Neural Network and Adaptive-Clustering Algorithm for Magnetotelluric Inverse Modeling
Weiqiang Liu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)
Two-dimensional deep learning inversion of magnetotelluric sounding data
Wei Liu et al.
JOURNAL OF GEOPHYSICS AND ENGINEERING (2021)
A theory-guided deep-learning formulation and optimization of seismic waveform inversion
Jian Sun et al.
GEOPHYSICS (2020)
Application of supervised descent method for 2D magnetotelluric data inversion
Rui Guo et al.
GEOPHYSICS (2020)
Window Selection of the Savitzky-Golay Filters for Signal Recovery From Noisy Measurements
Mohammad Sadeghi et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network
Peng Bai et al.
REMOTE SENSING (2020)
A Physics-Driven Deep-Learning Network for Solving Nonlinear Inverse Problems
Yuchen Jin et al.
PETROPHYSICS (2020)
Convolutional neural network for seismic impedance inversion
Vishal Das et al.
GEOPHYSICS (2019)
Nonlinear inversion for magnetotelluric sounding based on deep belief network
He Wang et al.
JOURNAL OF CENTRAL SOUTH UNIVERSITY (2019)
Efficient hierarchical trans-dimensional Bayesian inversion of magnetotelluric data
Enming Xiang et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2018)
Trans-dimensional Bayesian inversion of airborne transient EM data from Taylor Glacier, Antarctica
Daniel Blatter et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2018)
Solving ill-posed inverse problems using iterative deep neural networks
Jonas Adler et al.
INVERSE PROBLEMS (2017)
3D inversion for multipulse airborne transient electromagnetic data
Yunhe Liu et al.
GEOPHYSICS (2016)
MTpy: A Python toolbox for magnetotellurics
Lars Krieger et al.
COMPUTERS & GEOSCIENCES (2014)
Three-dimensional parallel distributed inversion of CSEM data using a direct forward solver
A. V. Grayver et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2013)
Non-linearity in Bayesian 1-D magnetotelluric inversion
Rongwen Guo et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2011)
Non-linear conjugate gradient inversion for global EM induction: resolution studies
Anna Kelbert et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2008)
Determinable and non-determinable parameters of galvanic distortion in magnetotellurics
HM Bibby et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2005)
Properties of Savitzky-Golay digital differentiators
JW Luo et al.
DIGITAL SIGNAL PROCESSING (2005)
The magnetotelluric phase tensor
TG Caldwell et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2004)
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
J Chen et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion
W Rodi et al.
GEOPHYSICS (2001)
An efficient data-subspace inversion method for 2-D magnetotelluric data
W Siripunvaraporn et al.
GEOPHYSICS (2000)
Three-dimensional magnetotelluric inversion using non-linear conjugate gradients
GA Newman et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2000)