*Fornaro, G.*,
*Atzori, S.*,
*Calo, F.*,
*Reale, D.*,
*Salvi, S.*,

**Inversion of Wrapped Differential Interferometric SAR Data for Fault
Dislocation Modeling**,

*GeoRS(50)*, No. 6, June 2012, pp. 2175-2184.

IEEE DOI
**1205**

BibRef

*Yang, S.*,
*Wang, J.*,
*Zhou, J.*,
*Zhu, T.*,
*Wang, H.*,

**An Efficient Algorithm of Both Frechet Derivative and Inversion of
MCIL Data in a Deviated Well in a Horizontally Layered TI Formation
Based on TLM Modeling**,

*GeoRS(52)*, No. 11, November 2014, pp. 6911-6923.

IEEE DOI
**1407**

Computational modeling
BibRef

*Shin, Y.H.[Young Hong]*,
*Shum, C.K.*,
*Braitenberg, C.[Carla]*,

**Estimating the 3D fold structure of the crust-mantle boundary**,

*SPIE(Newsroom)*, November 23, 2015

DOI Link
**1602**

Deep-seated lithospheric folding can be revealed using a method that
combines gravity inversion calculations and isostatic analyses.
BibRef

*Gao, Z.*,
*Pan, Z.*,
*Gao, J.*,

**Multimutation Differential Evolution Algorithm and Its Application to
Seismic Inversion**,

*GeoRS(54)*, No. 6, June 2016, pp. 3626-3636.

IEEE DOI
**1606**

evolutionary computation
BibRef

*Gao, Z.*,
*Pan, Z.*,
*Gao, J.*,
*Wu, R.*,

**Frequency Controllable Envelope Operator and Its Application in
Multiscale Full-Waveform Inversion**,

*GeoRS(57)*, No. 2, February 2019, pp. 683-699.

IEEE DOI
**1901**

Frequency control, Computational modeling, Data models,
Optimization methods, Estimation, Inverse problems, Cycle skipping,
multiscale scheme
BibRef

*Yu, Z.*,
*Zhou, J.*,
*Fang, Y.*,
*Hu, Y.*,
*Liu, Q.H.*,

**Through-Casing Hydraulic Fracture Evaluation by Induction Logging II:
The Inversion Algorithm and Experimental Validations**,

*GeoRS(55)*, No. 2, February 2017, pp. 1189-1198.

IEEE DOI
**1702**

fast Fourier transforms
BibRef

*Al-Battal, A.F.*,
*Mousa, W.A.*,

**The Design of 2-D Explicit Depth Extrapolators Using the Cauchy Norm**,

*GeoRS(55)*, No. 5, May 2017, pp. 3029-3036.

IEEE DOI
**1705**

hydrocarbon reservoirs, 2-D explicit depth extrapolators,
Cauchy norm, Marmousi model data set, SEG/EAGE salt model,
adaptive damping, coefficients yielding, depth migration,
filter coefficients, paper, extrapolators,
poststack depth migrations, recursive migration process,
wavefield extrapolations, Design methodology, Extrapolation,
Finite impulse response filters, Frequency-domain analysis,
Imaging, Inverse problems, Passband, Cauchy norm,
finite impulse response (FIR) filters,
regularized least square (RLS), seismic imaging, wavefield, extrapolation
BibRef

*Bordignon, F.L.*,
*de Figueiredo, L.P.*,
*Azevedo, L.*,
*Soares, A.*,
*Roisenberg, M.*,
*Neto, G.S.*,

**Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic
Inversion Methodology**,

*GeoRS(55)*, No. 8, August 2017, pp. 4457-4464.

IEEE DOI
**1708**

Bayes methods, Computational modeling, Correlation,
Covariance matrices, Data models, Stochastic processes,
Uncertainty, Bayesian inversion, geostatistics,
linearized inversion, seismic inversion, stochastic inversion,
uncertainty, modeling
BibRef

*Lan, T.*,
*Liu, H.*,
*Liu, N.*,
*Li, J.*,
*Han, F.*,
*Liu, Q.H.*,

**Joint Inversion of Electromagnetic and Seismic Data Based on
Structural Constraints Using Variational Born Iteration Method**,

*GeoRS(56)*, No. 1, January 2018, pp. 436-445.

IEEE DOI
**1801**

Green's function methods, fast Fourier transforms,
finite difference methods, geophysical signal processing,
variational Born iteration method (VBIM)
BibRef

*Guo, Q.*,
*Zhang, H.*,
*Han, F.*,
*Shang, Z.*,

**Prestack Seismic Inversion Based on Anisotropic Markov Random Field**,

*GeoRS(56)*, No. 2, February 2018, pp. 1069-1079.

IEEE DOI
**1802**

Anisotropic magnetoresistance, Bayes methods, Data models, Geology,
Linear programming, Markov processes, Standards, Anisotropic,
seismic inverse problems
BibRef

*Guo, Q.*,
*Zhang, H.*,
*Cao, H.*,
*Xiao, W.*,
*Han, F.*,

**Hybrid Seismic Inversion Based on Multi-Order Anisotropic Markov
Random Field**,

*GeoRS(58)*, No. 1, January 2020, pp. 407-420.

IEEE DOI
**2001**

Geology, Data models, Impedance, Reliability, Mathematical model,
Acoustics, Markov processes,
multi-order neighborhoods
BibRef

*Dagnino, D.[Daniel]*,
*Sallarčs, V.[Valentí]*,
*Ranero, C.R.[César R.]*,

**Waveform-Preserving Processing Flow of Multichannel Seismic
Reflection Data for Adjoint-State Full-Waveform Inversion of Ocean
Thermohaline Structure**,

*GeoRS(56)*, No. 3, March 2018, pp. 1615-1625.

IEEE DOI
**1804**

Butterworth filters, geophysical signal processing, oceanography,
seafloor phenomena, seismic waves, seismology, BF processing,
underwater acoustic propagation
BibRef

*Zong, Z.*,
*Wang, Y.*,
*Li, K.*,
*Yin, X.*,

**Broadband Seismic Inversion for Low-Frequency Component of the Model
Parameter**,

*GeoRS(56)*, No. 9, September 2018, pp. 5177-5184.

IEEE DOI
**1809**

Frequency-domain analysis, Broadband communication, Data models,
Frequency estimation, Damping, Estimation, Bayes methods,
seismic inversion
BibRef

*Li, H.*,
*Wang, L.*,

**Fast Modeling and Practical Inversion of Laterolog-Type Downhole
Resistivity Measurements**,

*GeoRS(57)*, No. 1, January 2019, pp. 120-127.

IEEE DOI
**1901**

Electrodes, Conductivity, Focusing, Tools, Velocity measurement,
Current measurement, Electric potential,
levenberg-marquardt (LM) method
BibRef

*Lan, T.*,
*Liu, N.*,
*Han, F.*,
*Liu, Q.H.*,

**Joint Petrophysical and Structural Inversion of Electromagnetic and
Seismic Data Based on Volume Integral Equation Method**,

*GeoRS(57)*, No. 4, April 2019, pp. 2075-2086.

IEEE DOI
**1904**

electric field integral equations,
electromagnetic wave scattering, fast Fourier transforms,
variational Born iteration method (VBIM)
BibRef

*Rodriguez, I.A.V.[I. A. Vera]*,

**A Heuristic-Learning Optimizer for Elastodynamic Waveform Inversion
in Passive Seismics**,

*GeoRS(57)*, No. 4, April 2019, pp. 2234-2248.

IEEE DOI
**1904**

geophysical signal processing, geophysical techniques,
inverse problems, iterative methods, particle swarm optimisation,
waveform inversion
BibRef

*Qiu, C.*,
*Liang, B.*,
*Han, F.*,
*Liu, H.*,
*Zhu, C.*,
*Liu, N.*,
*Liu, F.*,
*Fang, G.*,
*Liu, Q.H.*,

**Multifrequency 3-D Inversion of GREATEM Data by BCGS-FFT-BIM**,

*GeoRS(57)*, No. 4, April 2019, pp. 2439-2448.

IEEE DOI
**1904**

conjugate gradient methods, fast Fourier transforms, geology,
geophysical techniques, integral equations, inverse problems,
volume integral equation (VIE)
BibRef

*Gao, Z.*,
*Pan, Z.*,
*Zuo, C.*,
*Gao, J.*,
*Xu, Z.*,

**An Optimized Deep Network Representation of Multimutation
Differential Evolution and its Application in Seismic Inversion**,

*GeoRS(57)*, No. 7, July 2019, pp. 4720-4734.

IEEE DOI
**1907**

Optimization methods, Data models, Mathematical model, Training,
Convergence, Deep learning, Deep learning,
seismic inversion
BibRef

*Hu, Y.[Yong]*,
*Wu, R.S.[Ru-Shan]*,
*Han, L.G.[Li-Guo]*,
*Zhang, P.[Pan]*,

**Joint Multiscale Direct Envelope Inversion of Phase and Amplitude in
the Time-Frequency Domain**,

*GeoRS(57)*, No. 7, July 2019, pp. 5108-5120.

IEEE DOI
**1907**

Separate hase and amplitude.
Data models, Scattering, Imaging, Frequency-domain analysis,
Transforms, Optimization, Numerical models,
waveform-phase
BibRef

*Li, G.*,
*Cai, H.*,
*Li, C.*,

**Alternating Joint Inversion of Controlled-Source Electromagnetic and
Seismic Data Using the Joint Total Variation Constraint**,

*GeoRS(57)*, No. 8, August 2019, pp. 5914-5922.

IEEE DOI
**1908**

geophysical prospecting, geophysical techniques,
hydrocarbon reservoirs, seismic waves, seismology,
structural constraint
BibRef

*Huang, G.*,
*Chen, X.*,
*Luo, C.*,
*Li, X.*,

**Prestack Waveform Inversion by Using an Optimized Linear Inversion
Scheme**,

*GeoRS(57)*, No. 8, August 2019, pp. 5716-5728.

IEEE DOI
**1908**

geophysical techniques, seismic waves, seismology,
adaptively determined regularization weight,
prestack waveform inversion (PWI)
BibRef

*Wang, L.*,
*Li, H.*,
*Fan, Y.*,

**Bayesian Inversion of Logging-While-Drilling Extra-Deep Directional
Resistivity Measurements Using Parallel Tempering Markov Chain Monte
Carlo Sampling**,

*GeoRS(57)*, No. 10, October 2019, pp. 8026-8036.

IEEE DOI
**1910**

approximation theory, Bayes methods, drilling (geotechnical),
inverse problems, Markov processes, Monte Carlo methods,
parallel tempering (PT)
BibRef

*Huang, W.*,
*Liu, J.*,

**Robust Seismic Image Interpolation With Mathematical Morphological
Constraint**,

*IP(29)*, No. 1, 2020, pp. 819-829.

IEEE DOI
**1910**

Interpolation, Mathematical model, Transforms,
Morphological operations, Morphology, Spatial databases, Shape,
inversion problems
BibRef

*Li, S.*,
*Liu, B.*,
*Ren, Y.*,
*Chen, Y.*,
*Yang, S.*,
*Wang, Y.*,
*Jiang, P.*,

**Deep-Learning Inversion of Seismic Data**,

*GeoRS(58)*, No. 3, March 2020, pp. 2135-2149.

IEEE DOI
**2003**

Deep neural networks (DNNs), seismic inversion
BibRef

*Liu, Q.C.[Qian-Cheng]*,
*Lu, Y.M.[Yong-Ming]*,
*Zhang, H.[Hao]*,

**Fast Single-Step Least-Squares Reverse-Time Imaging via Adaptive
Matching Filters in Beams**,

*GeoRS(58)*, No. 3, March 2020, pp. 1913-1919.

IEEE DOI
**2003**

LSRTM.
Adaptive matching filter, fast inversion
BibRef

*Zhang, Q.C.[Qing-Chen]*,
*Mao, W.J.[Wei-Jian]*,
*Fang, J.W.[Jin-Wei]*,

**Elastic Full Waveform Inversion With Source-Independent
Crosstalk-Free Source-Encoding Algorithm**,

*GeoRS(58)*, No. 4, April 2020, pp. 2915-2927.

IEEE DOI
**2004**

Crosstalk, elastic full waveform inversion (FWI),
source-encoding, source-independent
BibRef

*Valerio, E.[Emanuela]*,
*Manzo, M.[Mariarosaria]*,
*Casu, F.[Francesco]*,
*Convertito, V.[Vincenzo]*,
*de Luca, C.[Claudio]*,
*Manunta, M.[Michele]*,
*Monterroso, F.[Fernando]*,
*Lanari, R.[Riccardo]*,
*de Novellis, V.[Vincenzo]*,

**Seismogenic Source Model of the 2019, Mw 5.9, East-Azerbaijan
Earthquake (NW Iran) through the Inversion of Sentinel-1 DInSAR
Measurements**,

*RS(12)*, No. 8, 2020, pp. xx-yy.

DOI Link
**2004**

BibRef

*Sun, B.*,
*Alkhalifah, T.A.*,

**Joint Minimization of the Mean and Information Entropy of the
Matching Filter Distribution for a Robust Misfit Function in
Full-Waveform Inversion**,

*GeoRS(58)*, No. 7, July 2020, pp. 4704-4720.

IEEE DOI
**2006**

Computational modeling, Focusing, Data models, Mathematical model,
Optimization, Predictive models, Current measurement,
nonlinear inversion
BibRef

*Fediuk, A.[Annika]*,
*Wilken, D.[Dennis]*,
*Thorwart, M.[Martin]*,
*Wunderlich, T.[Tina]*,
*Erkul, E.[Ercan]*,
*Rabbel, W.[Wolfgang]*,

**The Applicability of an Inverse Schlumberger Array for Near-Surface
Targets in Shallow Water Environments**,

*RS(12)*, No. 13, 2020, pp. xx-yy.

DOI Link
**2007**

BibRef

*Wang, Y.*,
*Ge, Q.*,
*Lu, W.*,
*Yan, X.*,

**Well-Logging Constrained Seismic Inversion Based on Closed-Loop
Convolutional Neural Network**,

*GeoRS(58)*, No. 8, August 2020, pp. 5564-5574.

IEEE DOI
**2007**

Impedance, Convolution, Data models, Encoding, Kernel,
Convolutional neural networks, Deep learning,
seismic inversion
BibRef

*Song, C.[Chao]*,
*Alkhalifah, T.A.[Tariq A.]*,

**Efficient Wavefield Inversion With Outer Iterations and Total
Variation Constraint**,

*GeoRS(58)*, No. 8, August 2020, pp. 5836-5846.

IEEE DOI
**2007**

Perturbation methods, Mathematical model, TV, Linear programming,
Computational modeling, Propagation, Data models, Cycle skipping,
wavefield reconstruction
BibRef

*Zong, J.*,
*Wo, Y.*,
*Zhou, H.*,
*Dyaur, N.*,

**Inversion for Salt Flank Geometry Using Transmitted P- and S-Wave
Travel Times**,

*GeoRS(58)*, No. 9, September 2020, pp. 6504-6511.

IEEE DOI
**2008**

Geometry, Tomography, Data models, Mathematical model, Receivers,
Numerical models, Geology, Joint inversion, seismic tomography, vertical seismic profiling (VSP)
BibRef

*Chen, G.*,
*Yang, W.*,
*Chen, S.*,
*Liu, Y.*,
*Gu, Z.*,

**Application of Envelope in Salt Structure Velocity Building:
From Objective Function Construction to the Full-Band Seismic Data
Reconstruction**,

*GeoRS(58)*, No. 9, September 2020, pp. 6594-6608.

IEEE DOI
**2008**

Linear programming, Data models, Image reconstruction, Buildings,
Reconstruction algorithms, Inverse problems, Scattering,
velocity building
BibRef

*Sun, M.[Minao]*,
*Jin, S.[Shuanggen]*,

**Multiparameter Elastic Full Waveform Inversion of Ocean Bottom
Seismic Four-Component Data Based on A Modified Acoustic-Elastic
Coupled Equation**,

*RS(12)*, No. 17, 2020, pp. xx-yy.

DOI Link
**2009**

BibRef

*Wu, G.L.[Guo-Li]*,
*Dong, H.F.[He-Feng]*,
*Ke, G.P.[Gan-Pan]*,
*Song, J.Q.A.[Jun-Qi-Ang]*,

**Shear-Wave Tomography Using Ocean Ambient Noise with Interference**,

*RS(12)*, No. 18, 2020, pp. xx-yy.

DOI Link
**2009**

BibRef

*Zhang, Z.*,
*Lin, Y.*,

**Data-Driven Seismic Waveform Inversion:
A Study on the Robustness and Generalization**,

*GeoRS(58)*, No. 10, October 2020, pp. 6900-6913.

IEEE DOI
**2009**

Inverse problems, Computational modeling, Mathematical model,
Generative adversarial networks, Neural networks,
transfer learning
BibRef

*He, B.*,
*Liu, Y.*,
*Lu, H.*,
*Zhang, Z.*,

**Correlative Full-Intensity Waveform Inversion**,

*GeoRS(58)*, No. 10, October 2020, pp. 6983-6994.

IEEE DOI
**2009**

Data models, Linear programming, Frequency-domain analysis,
Bandwidth, Scattering, Geology, Geophysics, Cycle-skipping,
source-independent
BibRef

*Long, Z.*,
*Cai, H.*,
*Hu, X.*,
*Li, G.*,
*Shao, O.*,

**Parallelized 3-D CSEM Inversion With Secondary Field Formulation and
Hexahedral Mesh**,

*GeoRS(58)*, No. 10, October 2020, pp. 6812-6822.

IEEE DOI
**2009**

Computational modeling, Finite element analysis,
Mathematical model, Numerical models, Solid modeling, Data models,
secondary field formulation
BibRef

*Jia, Z.A.[Zhu-Ang]*,
*Lu, W.K.[Wen-Kai]*,

**Blind Separation of Ground-Roll Using Interband Morphological
Similarity and Pattern Coding**,

*GeoRS(58)*, No. 10, October 2020, pp. 7166-7177.

IEEE DOI
**2009**

Task analysis, Frequency-domain analysis, Encoding,
Wavelet transforms, Dictionaries, Signal to noise ratio,
self-similarity
BibRef

*Roger, M.[Marine]*,
*Li, Z.H.[Zhen-Hong]*,
*Clarke, P.[Peter]*,
*Song, C.[Chuang]*,
*Hu, J.C.[Jyr-Ching]*,
*Feng, W.P.[Wan-Peng]*,
*Yi, L.[Lei]*,

**Joint Inversion of Geodetic Observations and Relative Weighting: The
1999 Mw 7.6 Chi-Chi Earthquake Revisited**,

*RS(12)*, No. 19, 2020, pp. xx-yy.

DOI Link
**2010**

BibRef

*Bai, P.[Peng]*,
*Vignoli, G.[Giulio]*,
*Viezzoli, A.[Andrea]*,
*Nevalainen, J.[Jouni]*,
*Vacca, G.[Giuseppina]*,

**(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic
Data via Artificial Neural Network**,

*RS(12)*, No. 20, 2020, pp. xx-yy.

DOI Link
**2010**

EM data, for mineral exploration.
BibRef

*Feng, D.*,
*Wang, X.*,
*Wang, X.*,

**New Dynamic Stochastic Source Encoding Combined With a Minmax-Concave
Total Variation Regularization Strategy for Full Waveform Inversion**,

*GeoRS(58)*, No. 11, November 2020, pp. 7753-7771.

IEEE DOI
**2011**

Encoding, Mathematical model, TV, Stochastic processes, Data models,
Linear programming, Crosstalk,
variable-density acoustic equation
BibRef

*Di, Q.*,
*Li, H.*,
*Xue, G.*,
*Zhang, L.*,

**Pseudo-2-D Transdimensional Bayesian Inversion of the Full Waveform
TEM Response From PRBS Source**,

*GeoRS(58)*, No. 11, November 2020, pp. 7602-7610.

IEEE DOI
**2011**

Bayes methods, Data models, Markov processes, Electromagnetics,
Earth, Signal resolution, Conductivity,
transient electromagnetic method (TEM)
BibRef

*Zhang, Y.*,
*Zhao, Z.*,
*Nie, Z.*,
*Liu, Q.H.*,

**Approach on Joint Inversion of Electromagnetic and Acoustic Data
Based on Structural Constraints**,

*GeoRS(58)*, No. 11, November 2020, pp. 7672-7681.

IEEE DOI
**2011**

Acoustics, Scattering, Mathematical model, Image reconstruction,
Inverse problems, Electromagnetics, Permittivity, Joint inversion,
subspace-based optimization method (SOM)
BibRef

*Liu, B.*,
*Li, H.*,
*Mohandes, M.*,
*Al-Shaikhi, A.*,
*Zhao, L.*,

**A Robust Scheme for Sparse Reflectivity Recovering From Uniformly
Quantized Seismic Data**,

*GeoRS(58)*, No. 12, December 2020, pp. 8665-8673.

IEEE DOI
**2012**

Quantization (signal), Matching pursuit algorithms, Uncertainty,
Estimation, Deconvolution, Robustness, Petroleum,
seismic data quantization
BibRef

*Zhang, X.T.[Xiao-Tian]*,
*Jia, Z.[Zhe]*,
*Ross, Z.E.[Zachary E.]*,
*Clayton, R.W.[Robert W.]*,

**Extracting Dispersion Curves From Ambient Noise Correlations Using
Deep Learning**,

*GeoRS(58)*, No. 12, December 2020, pp. 8932-8939.

IEEE DOI
**2012**

Dispersion, Correlation, Training, Surface waves, Machine learning,
Data models, Surface treatment, Convolutional networks,
surface waves
BibRef

*Jiang, B.*,
*Lu, W.*,

**Adaptive Multiple Subtraction Based on an Accelerating Iterative
Curvelet Thresholding Method**,

*IP(30)*, 2021, pp. 806-821.

IEEE DOI
**2012**

Curvelet transform, geophysical signal processing, sparsity,
iterative thresholding, signal separation
BibRef

*Luo, J.*,
*Wang, B.*,
*Wu, R.S.*,
*Gao, J.*,

**Elastic Full Waveform Inversion With Angle Decomposition and
Wavefield Decoupling**,

*GeoRS(59)*, No. 1, January 2021, pp. 871-883.

IEEE DOI
**2012**

Scattering, Frequency-domain analysis, Perturbation methods,
Acoustics, Time-domain analysis, Analytical models,
wave mode decoupling
BibRef

*Jiang, B.*,
*Lu, W.*,

**Primal-Dual Optimization Strategy With Total Variation Regularization
for Prestack Seismic Image Deblurring**,

*GeoRS(59)*, No. 1, January 2021, pp. 884-893.

IEEE DOI
**2012**

TV, Mathematical model, Imaging, Convolution, Lighting, Deconvolution,
Data models, Deconvolution, nonstationary,
total variation (TV)
BibRef

*Qian, F.*,
*Zhang, C.*,
*Feng, L.*,
*Lu, C.*,
*Zhang, G.*,
*Hu, G.*,

**Tubal-Sampling: Bridging Tensor and Matrix Completion in 3-D Seismic
Data Reconstruction**,

*GeoRS(59)*, No. 1, January 2021, pp. 854-870.

IEEE DOI
**2012**

Tensors, Matrix decomposition, Periodic structures,
Mathematical model, Bridges, Signal to noise ratio, Convolution,
tubal sampling
BibRef

*Grathwohl, C.[Christine]*,
*Kunstmann, P.C.[Peer Christian]*,
*Quinto, E.T.[Eric Todd]*,
*Rieder, A.[Andreas]*,

**Imaging with the Elliptic Radon Transform in Three Dimensions from an
Analytical and Numerical Perspective**,

*SIIMS(13)*, No. 4, 2020, pp. 2250-2280.

DOI Link
**2012**

A linear model in seismic imaging.
BibRef

*Wang, D.*,
*Gao, J.*,
*Liu, N.*,
*Jiang, X.*,

**Structure-Oriented DTGV Regularization for Random Noise Attenuation
in Seismic Data**,

*GeoRS(59)*, No. 2, February 2021, pp. 1757-1771.

IEEE DOI
**2101**

TV, Attenuation, Transforms, Oils, Geology, Data models,
Signal to noise ratio, Gradient structure tensor (GST),
variational regularization
BibRef

*Yuan, Y.*,
*Li, Y.*,
*Zhou, S.*,

**Multichannel Statistical Broadband Wavelet Deconvolution for
Improving Resolution of Seismic Signals**,

*GeoRS(59)*, No. 2, February 2021, pp. 1772-1783.

IEEE DOI
**2101**

Deconvolution, Correlation, Receivers, Surface treatment,
Signal resolution, Convolution, Surface waves, Broadband wavelet,
resolution
BibRef

*Liu, X.*,
*Chen, X.*,
*Li, J.*,
*Chen, Y.*,

**Nonlocal Weighted Robust Principal Component Analysis for Seismic
Noise Attenuation**,

*GeoRS(59)*, No. 2, February 2021, pp. 1745-1756.

IEEE DOI
**2101**

Noise reduction, Principal component analysis, Attenuation,
Image reconstruction, Matrix decomposition, Linear programming,
seismic data
BibRef

*Gao, Z.*,
*Li, C.*,
*Liu, N.*,
*Pan, Z.*,
*Gao, J.*,
*Xu, Z.*,

**Large-Dimensional Seismic Inversion Using Global Optimization With
Autoencoder-Based Model Dimensionality Reduction**,

*GeoRS(59)*, No. 2, February 2021, pp. 1718-1732.

IEEE DOI
**2101**

Optimization methods, Dimensionality reduction, Decoding,
Data models, Impedance, Numerical models, Autoencoder, seismic inversion
BibRef

*Xu, S.*,
*Su, W.*,
*Yang, D.*,
*Li, Z.*,

**A Application of adaptive generalized S transform in formation Q
value extraction**,

*CVIDL20*(688-692)

IEEE DOI
**2102**

geophysical signal processing, geophysical techniques,
optimisation, seismic waves, time-frequency analysis,
Teager-Kaiser energy
BibRef

*Adler, A.*,
*Araya-Polo, M.*,
*Poggio, T.*,

**Deep Learning for Seismic Inverse Problems: Toward the Acceleration
of Geophysical Analysis Workflows**,

*SPMag(38)*, No. 2, March 2021, pp. 89-119.

IEEE DOI
**2103**

Seismic measurements, Inverse problems, Earthquakes, Deep learning,
Hydrocarbons, Hazards, Earth, Analytical models, Geophysical measurements
BibRef

*Yang, C.S.[Cheng-Sheng]*,
*Wang, T.[Ting]*,
*Zhu, S.[Sainan]*,
*Han, B.Q.[Bing-Quan]*,
*Dong, J.H.[Ji-Hong]*,
*Zhao, C.Y.[Chao-Ying]*,

**Co-Seismic Inversion and Post-Seismic Deformation Mechanism Analysis
of 2019 California Earthquake**,

*RS(13)*, No. 4, 2021, pp. xx-yy.

DOI Link
**2103**

BibRef

*Wu, B.[Bangyu]*,
*Meng, D.[Delin]*,
*Zhao, H.X.[Hai-Xia]*,

**Semi-Supervised Learning for Seismic Impedance Inversion Using
Generative Adversarial Networks**,

*RS(13)*, No. 5, 2021, pp. xx-yy.

DOI Link
**2103**

BibRef

*Zhong, T.*,
*Cheng, M.*,
*Dong, X.*,
*Li, Y.*,

**Seismic Random Noise Suppression by Using Adaptive Fractal
Conservation Law Method Based on Stationarity Testing**,

*GeoRS(59)*, No. 4, April 2021, pp. 3588-3600.

IEEE DOI
**2104**

Noise reduction, Attenuation, Signal processing algorithms,
Testing, Transforms, Signal to noise ratio, Data processing,
stationarity testing
BibRef

*Wang, H.*,
*Huang, G.*,
*Chen, W.*,
*Chen, Y.*,

**Q-Compensated Denoising of Seismic Data**,

*GeoRS(59)*, No. 4, April 2021, pp. 3580-3587.

IEEE DOI
**2104**

Noise reduction, Attenuation, Convolution, Data models,
Mathematical model, Noise measurement, Estimation, Denoising,
Q-compensation
BibRef

*Liu, Y.T.[Yang-Ting]*,
*Zhong, Y.[Yu]*,

**Machine Learning-Based Seafloor Seismic Prestack Inversion**,

*GeoRS(59)*, No. 5, May 2021, pp. 4471-4480.

IEEE DOI
**2104**

Training, Data models, Neurons, Mathematical model,
Computational modeling, Biological neural networks,
seafloor properties
BibRef

*Ferreira, R.S.[Rodrigo S.]*,
*Oliveira, D.A.B.[Dário A. B.]*,
*Semin, D.G.[Daniil G.]*,
*Zaytsev, S.[Semen]*,

**Automatic Velocity Analysis Using a Hybrid Regression Approach With
Convolutional Neural Networks**,

*GeoRS(59)*, No. 5, May 2021, pp. 4464-4470.

IEEE DOI
**2104**

Training, MOS devices, Convolution,
Splines (mathematics), Computer architecture, Stacking, Geophysics,
regression analysis
BibRef

*Wang, S.N.[Sheng-Nan]*,
*Li, Y.[Yue]*,
*Wu, N.[Ning]*,
*Zhao, Y.X.[Yu-Xing]*,
*Yao, H.Y.[Hai-Yang]*,

**Attribute-Based Double Constraint Denoising Network for Seismic Data**,

*GeoRS(59)*, No. 6, June 2021, pp. 5304-5316.

IEEE DOI
**2106**

Noise reduction, Training, Noise measurement, Task analysis,
Data mining, Generative adversarial networks,
seismic data
BibRef

*Cyz, M.[Marta]*,
*Azevedo, L.[Leonardo]*,

**Direct Geostatistical Seismic Amplitude Versus Angle Inversion for
Shale Rock Properties**,

*GeoRS(59)*, No. 6, June 2021, pp. 5335-5344.

IEEE DOI
**2106**

Rocks, Data models, Computational modeling, Physics,
Predictive models, Stochastic processes, Reservoirs, Geostatistics,
stochastic inversion
BibRef

IEEE DOI

convolutional neural nets, geophysical image processing, geophysical prospecting, geophysical techniques, Convolutional neural networks BibRef

*Abbas, A.[Ahmed]*,
*Swoboda, P.[Paul]*,

**Bottleneck Potentials in Markov Random Fields**,

*ICCV19*(3174-3183)

IEEE DOI
**2004**

combinatorial mathematics, graph theory, inverse problems,
Markov processes, minimisation, random processes,
Image segmentation
BibRef

*Angulo Bustos, H.I.[Harold Ivan]*,
*dos Santos Silva, M.P.[Marcelino Pereira]*,

**A MAP algorithm for AVO seismic inversion based on the mixed (L2,
non-L2) norms to separate primary and multiple signals in slowness
space**,

*WACV09*(1-6).

IEEE DOI
**0912**

BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in

Geological Analysis, Rocks .

Last update:Jun 9, 2021 at 21:04:26