24.8.6.13.4 Magnetic, Electromagnetic Detection for Buried Objects, UXO, Landmines

Ren, Y., Chen, Y., Zhan, Q., Niu, J., Liu, Q.H.,
A Higher Order Hybrid SIE/FEM/SEM Method for the Flexible Electromagnetic Simulation in Layered Medium,
GeoRS(55), No. 5, May 2017, pp. 2563-2574.
IEEE DOI 1705
Green's function methods, finite element analysis, geophysical prospecting, integral equations, Riemann type transmission condition, finite element method, flexible electromagnetic simulation, geophysical exploration, higher-order hybrid SIE-FEM-SEM method, interior dielectric subdomain, layered medium Green functions, nonconformal mesh, penetrable object, spectral element method, surface integral equation, Convergence, Electromagnetics, Finite element analysis, Integral equations, Mathematical model, Numerical models, Domain decomposition, finite-element method (FEM), hybrid method, layered medium (LM), spectral element method (SEM), surface, integral, equation, (SIE) BibRef

Zhou, Y., Shi, L., Liu, N., Zhu, C., Sun, Y., Liu, Q.H.,
Mixed Spectral-Element Method for Overcoming the Low-Frequency Breakdown Problem in Subsurface EM Exploration,
GeoRS(55), No. 6, June 2017, pp. 3488-3500.
IEEE DOI 1706
Electric breakdown, Electromagnetics, Finite element analysis, Linear systems, Mathematical model, Surface waves, Gauss' law, hydrocarbon exploration, low-frequency breakdown, mixed spectral element method (mixed SEM), surface-to-borehole, electromagnetic, (SBEM) BibRef

Cowan, D.C., Song, L.P., Oldenburg, D.W.,
Transient VRM Response From a Large Circular Loop Over a Conductive and Magnetically Viscous Half-Space,
GeoRS(55), No. 7, July 2017, pp. 3669-3678.
IEEE DOI 1706
Magnetic domains, Magnetic susceptibility, Magnetization, Numerical models, Soil, Transient analysis, Transmitters, Circular loop, crossover time, inductive response, magnetic soil, time-domain electromagnetic (TEM) systems, viscous, remanent, magnetization, (VRM) BibRef

Salucci, M.[Marco], Oliveri, G.[Giacomo], Anselmi, N.[Nicola], Viani, F.[Federico], Fedeli, A.[Alessandro], Pastorino, M.[Matteo], Randazzo, A.[Andrea],
Three-dimensional electromagnetic imaging of dielectric targets by means of the multiscaling inexact-Newton method,
JOSA-A(34), No. 7, July 2017, pp. 1119-1131.
DOI Link 1708
Inverse problems, Three-dimensional image processing, Inverse, scattering BibRef

Sigman, J.B., Barrowes, B.E., O'Neill, K., Wang, Y., Simms, J.E., Bennett, H.H., Yule, D.E., Shubitidze, F.,
High-Frequency Electromagnetic Induction Sensing of Nonmetallic Materials,
GeoRS(55), No. 9, September 2017, pp. 5254-5263.
IEEE DOI 1709
intermediate electrical conductivity, nonmetallic material, Ground penetrating radar. BibRef

Donelli, M., Viani, F.,
Remote Inspection of the Structural Integrity of Engineering Structures and Materials With Passive MST Probes,
GeoRS(55), No. 12, December 2017, pp. 6756-6766.
IEEE DOI 1712
Antenna measurements, Antennas, Civil engineering, Impedance, Monitoring, Probes, Sensors, Civil engineering monitoring, nondestructive testing BibRef

Liang, B.Y.[Bing-Yang], Qiu, C.[Chen], Han, F.[Feng], Zhu, C.H.[Chun-Hui], Liu, N.[Na], Liu, H.[Hai], Liu, F.[Fubo], Fang, G.Y.[Guang-You], Liu, Q.H.[Qing Huo],
A New Inversion Method Based on Distorted Born Iterative Method for Grounded Electrical Source Airborne Transient Electromagnetics,
GeoRS(56), No. 2, February 2018, pp. 877-887.
IEEE DOI 1802
Bessel functions, geophysical signal processing, geophysical techniques, inverse problems, iterative methods, semianalytical solution of line source BibRef

Ledger, P.D., Lionheart, W.R.B.,
An Explicit Formula for the Magnetic Polarizability Tensor for Object Characterization,
GeoRS(56), No. 6, June 2018, pp. 3520-3533.
IEEE DOI 1806
Harmonic analysis, Magnetic moments, Magnetic resonance imaging, Metals, Sea measurements, Tensile stress, Buried object detection, polarizability tensors BibRef

Hu, Y., Fang, Y., Wang, D., Zhong, Y., Liu, Q.H.,
Electromagnetic Waves in Multilayered Generalized Anisotropic Media,
GeoRS(56), No. 10, October 2018, pp. 5758-5766.
IEEE DOI 1810
Transmission line matrix methods, Media, Perpendicular magnetic anisotropy, Magnetic domains, local reflection matrices BibRef

Ren, Y., Zhao, S., Chen, Y., Hong, D., Liu, Q.H.,
Simulation of Low-Frequency Scattering From Penetrable Objects in Layered Medium by Current and Charge Integral Equations,
GeoRS(56), No. 11, November 2018, pp. 6537-6546.
IEEE DOI 1811
Dielectrics, Mathematical model, Scattering, Integral equations, Electric breakdown, Solids, Impedance, low-frequency breakdown BibRef

Morey, S.L.[Steven L.], Wienders, N.[Nicolas], Dukhovskoy, D.S.[Dmitry S.], Bourassa, M.A.[Mark A.],
Measurement Characteristics of Near-Surface Currents from Ultra-Thin Drifters, Drogued Drifters, and HF Radar,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Lin, T., Yang, Y., Yang, Y., Wan, L., Teng, F.,
Exploiting Adiabatic Pulses With Prepolarization in Detection of Underground Nuclear Magnetic Resonant Signals,
GeoRS(57), No. 7, July 2019, pp. 4558-4567.
IEEE DOI 1907
Adiabatic, Nuclear magnetic resonance, Magnetization, Pulse measurements, Antenna measurements, Magnetic levitation, underground nuclear magnetic resonance (NMR) BibRef

Kerr, A.J.[Andrew J.], Scott, W.R.[Waymond R.], Mcclellan, J.H.[James H.],
Performance Analysis of Parameter Estimation in Electromagnetic Induction Data,
GeoRS(57), No. 7, July 2019, pp. 5054-5066.
IEEE DOI 1907
Electromagnetic interference, Sensor arrays, Frequency-domain analysis, Geometry, Time-domain analysis, maximum likelihood estimation BibRef

Lertniphonphun, W., McClellan, J.H.,
Migration of Underground Targets in UWB-SAR Systems,
ICIP00(Vol I: 713-716).
IEEE DOI 0008
BibRef

Moghadas, D.[Davood], Vrugt, J.A.[Jasper A.],
The Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
Electrical conductivity of saturated soils. BibRef

Jiang, Z., Liu, L., Liu, S., Yue, J.,
Surface-to-Underground Transient Electromagnetic Detection of Water-Bearing Goaves,
GeoRS(57), No. 8, August 2019, pp. 5303-5318.
IEEE DOI 1908
coal, geophysical prospecting, mining, terrestrial electricity, numerical results, EMF curve, numerical simulation, transient electromagnetic method (TEM) BibRef

Thakur, S., Bruzzone, L.,
An Approach to the Simulation of Radar Sounder Radargrams Based on Geological Analogs,
GeoRS(57), No. 8, August 2019, pp. 5266-5284.
IEEE DOI 1908
data acquisition, geophysical techniques, remote sensing by radar, terrestrial electricity, simulation BibRef

Gabbay, J.E., Scott, W.R.,
Wideband Models for the Electromagnetic Induction Signatures of Thin Conducting Shells,
GeoRS(57), No. 10, October 2019, pp. 7330-7338.
IEEE DOI 1910
clutter, decomposition, electromagnetic devices, electromagnetic induction, inductance measurement, singularity expansion method BibRef

Huang, W., Wang, H., Zhan, Q., Fang, Y., Wang, D., Zhang, R., Liu, Q.H.,
Thin Dielectric Sheet-Based Surface Integral Equation for the Scattering Simulation of Fractures in a Layered Medium,
GeoRS(57), No. 10, October 2019, pp. 7606-7612.
IEEE DOI 1910
electromagnetic wave scattering, finite element analysis, integral equations, integral-equation based solver, well logging BibRef

Zhang, H., Marangoni, Y.R., Wu, Z.,
Depth Corrected Edge Detection of Magnetic Data,
GeoRS(57), No. 12, December 2019, pp. 9626-9632.
IEEE DOI 1912
Image edge detection, Mathematical model, Magnetic resonance imaging, Ores, Detectors, Levee, ore exploration BibRef

Li, C., Mittra, R.,
Characteristic Basis Function Method for Fast Analysis of 3-D Scattering From Objects Buried Under Rough Surfaces,
GeoRS(57), No. 8, August 2019, pp. 5252-5265.
IEEE DOI 1908
approximation theory, electromagnetic wave scattering, integral equations, matrix algebra, rough surfaces, physical optics (PO) BibRef

Li, J., Liu, J., Egbert, G.D., Liu, R., Guo, R., Pan, K.,
An Efficient Preconditioner for 3-D Finite Difference Modeling of the Electromagnetic Diffusion Process in the Frequency Domain,
GeoRS(58), No. 1, January 2020, pp. 500-509.
IEEE DOI 2001
Mathematical model, Color, Electromagnetics, Conductivity, Solid modeling, Matrix decomposition, Boundary conditions, staggered finite-difference (FD) magnetotellurics (MTs) BibRef

di Simone, A., Fuscaldo, W., Millefiori, L.M., Riccio, D., Ruello, G., Braca, P., Willett, P.,
Analytical Models for the Electromagnetic Scattering From Isolated Targets in Bistatic Configuration: Geometrical Optics Solution,
GeoRS(58), No. 2, February 2020, pp. 861-880.
IEEE DOI 2001
Rough surfaces, Surface roughness, Sea surface, Surface impedance, Marine vehicles, Electromagnetic scattering, Bistatic radars, radar cross section (RCS) BibRef

Mu, Y.X.[Ya-Xin], Zhang, X.J.[Xiao-Juan], Xie, W.P.[Wu-Peng], Zheng, Y.X.[Yao-Xin],
Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Li, N.[Na], Hong, D.C.[De-Cheng], Han, W.[Wei], Liu, Q.H.[Qing Huo],
An Analytic Algorithm for Electromagnetic Field in Planar-Stratified Biaxial Anisotropic Formation,
GeoRS(58), No. 3, March 2020, pp. 1644-1653.
IEEE DOI 2003
Perpendicular magnetic anisotropy, Magnetic domains, Spectral analysis, Conductivity, Tools, planar-stratified medium BibRef

Hong, D.C.[De-Cheng], Li, N.[Na], Han, W.[Wei], Zhan, Q.W.[Qi-Wei], Zeyde, K.[Kirill], Liu, Q.H.[Qing Huo],
An Analytic Algorithm for Dipole Electromagnetic Field in Fully Anisotropic Planar-Stratified Media,
GeoRS(59), No. 11, November 2021, pp. 9120-9131.
IEEE DOI 2111
Anisotropic magnetoresistance, Media, Fourier transforms, Eigenvalues and eigenfunctions, Tensors, planar-stratified medium BibRef

Hu, X., Fan, Y., Deng, S., Yuan, X., Li, H.,
Electromagnetic Logging Response in Multilayered Formation With Arbitrary Uniaxially Electrical Anisotropy,
GeoRS(58), No. 3, March 2020, pp. 2071-2083.
IEEE DOI 2003
Media, Anisotropic magnetoresistance, Conductivity, Magnetic multilayers, Magnetic domains, transversely isotropic (TI) formation BibRef

Liu, S., Sui, Y., Leslie, K., Foss, C., Clark, D.,
Determination of the Direction of Magnetization and Orientation of a Tilted Sheet From Downhole Magnetic Gradient Tensor Data,
GeoRS(58), No. 3, March 2020, pp. 2084-2095.
IEEE DOI 2003
Downhole, magnetic gradient tensor, magnetization, magnetic sheet, geometry BibRef

Bobe, C., van de Vijver, E., Keller, J., Hanssens, D., van Meirvenne, M., de Smedt, P.,
Probabilistic 1-D Inversion of Frequency-Domain Electromagnetic Data Using a Kalman Ensemble Generator,
GeoRS(58), No. 5, May 2020, pp. 3287-3297.
IEEE DOI 2005
Bayesian inversion, frequency-domain electromagnetics (FDEMs), Kalman ensemble generator (KEG), Monte Carlo BibRef

Guo, C., Dutta, P., Mavko, G.,
Spatial Variability of Electric Field Implied by Common Dielectric Effective Medium Models,
GeoRS(58), No. 6, June 2020, pp. 4424-4435.
IEEE DOI 2005
Composite materials, dielectric breakdown, electromagnetic modeling, permittivity BibRef

Letourneau, P.D.[Pierre-David], Harris, M.T.[Mitchell Tong], Langston, M.H.[Matthew Harper], Papanicolaou, G.[George],
Low-Frequency Electromagnetic Imaging Using Sensitivity Functions and Beamforming,
SIIMS(13), No. 2, 2020, pp. 807-843.
DOI Link 2007
BibRef

Jin, H., Guo, J., Wang, H., Zhuang, Z., Qin, J., Wang, T.,
Magnetic Anomaly Detection and Localization Using Orthogonal Basis of Magnetic Tensor Contraction,
GeoRS(58), No. 8, August 2020, pp. 5944-5954.
IEEE DOI 2007
Tensile stress, Magnetometers, Superconducting magnets, Signal to noise ratio, Pollution measurement, Interference, remote sensing BibRef

Le Van, D.O.,
Novel Communication Channel Model for Signal Propagation and Loss Through Layered Earth,
GeoRS(58), No. 8, August 2020, pp. 5393-5399.
IEEE DOI 2007
Earth, Conductivity, Coal mining, Predictive models, Magnetic shielding, Mathematical model, Data models, Attenuation, through-the-Earth (TTE) communication BibRef

Liu, B., Guo, Q., Li, S., Liu, B., Ren, Y., Pang, Y., Guo, X., Liu, L., Jiang, P.,
Deep Learning Inversion of Electrical Resistivity Data,
GeoRS(58), No. 8, August 2020, pp. 5715-5728.
IEEE DOI 2007
Conductivity, Data models, Kernel, Deep learning, Resistance, Erbium, Inverse problems, Deep learning, electrical resistivity inversion BibRef

Liu, B.[Benchao], Jiang, P.[Peng], Guo, Q.[Qian], Wang, C.[Chuanwu],
Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping,
SPLetters(29), 2022, pp. 2248-2252.
IEEE DOI 2212
Conductivity, Deep learning, Data models, Training, Neural networks, Task analysis, Resistance, ERI, deep learning, one-sided mapping BibRef

Ammari, H.[Habib], Li, B.[Bowen], Zou, J.[Jun],
Superresolution in Recovering Embedded Electromagnetic Sources in High Contrast Media,
SIIMS(13), No. 3, 2020, pp. 1467-1510.
DOI Link 2010
BibRef

Dong, X.C.[Xian-Cong], Li, X.J.[Xiao-Jie], Zheng, X.M.[Xing-Ming], Jiang, T.[Tao], Li, X.F.[Xiao-Feng],
Effect of Saline Soil Cracks on Satellite Spectral Inversion Electrical Conductivity,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

van Verre, W., Marsh, L.A., Davidson, J.L., Cheadle, E., Podd, F.J.W., Peyton, A.J.,
Detection of Metallic Objects in Mineralized Soil Using Magnetic Induction Spectroscopy,
GeoRS(59), No. 1, January 2021, pp. 27-36.
IEEE DOI 2012
Soil, Detectors, Metals, Landmine detection, Magnetic separation, Ground penetrating radar, Spectroscopy, Landmines, multifrequency BibRef

Martorella, F.[Francesco],
Magnetic Survey at the Roman Military Camp of el Benian in Mauretania Tingitana (Morocco): Results and Implications,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Døssing, d.[da_Silva_Arne], Simoes, E.L.[Eduardo Lima], Martelet, G.[Guillaume], Rasmussen, T.M.[Thorkild Maack], Gloaguen, E.[Eric], Petersen, J.T.[Jacob Thejll], Linde, J.[Johannes],
A High-Speed, Light-Weight Scalar Magnetometer Bird for km Scale UAV Magnetic Surveying: On Sensor Choice, Bird Design, and Quality of Output Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Yin, C.C.[Chang-Chun], Gao, Z.H.[Zong-Hui], Su, Y.[Yang], Liu, Y.H.[Yun-He], Huang, X.[Xin], Ren, X.[Xiuyan], Xiong, B.[Bin],
3D Airborne EM Forward Modeling Based on Time-Domain Spectral Element Method,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
geophysical survey. BibRef

Kass, M.A.[M. Andy], Christiansen, A.V.[Anders Vest], Auken, E.[Esben], Larsen, J.J.[Jakob Juul],
Efficient Reduction of Powerline Signals in Magnetic Data Acquired From a Moving Platform,
GeoRS(59), No. 8, August 2021, pp. 7137-7146.
IEEE DOI 2108
Magnetometers, Data models, Magnetic sensors, Power grids, Linear systems, Magnetic survey, powerline noise removal, signal processing BibRef

Li, H.[Hai], Xue, G.Q.[Guo-Qiang], Zhang, L.[Linbo],
Accelerated Bayesian Inversion of Transient Electromagnetic Data Using MCMC Subposteriors,
GeoRS(59), No. 12, December 2021, pp. 10000-10010.
IEEE DOI 2112
Bayes methods, Data models, Uncertainty, Computational modeling, Numerical models, Proposals, Markov processes, Bayesian inversion, transient electromagnetic method (TEM) BibRef

Harrison, E.J.[Edward J.], Baranwal, V.C.[Vikas C.], Pfaffhuber, A.A.[Andreas A.], Christensen, C.W.[Craig W.], Skurdal, G.H.[Guro H.], Rønning, J.S.[Jan Steinar], Anschütz, H.[Helgard], Brönner, M.[Marco],
AEM in Norway: A Review of the Coverage, Applications and the State of Technology,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
airborne electromagnetic BibRef

Su, Y.[Yang], Yin, C.C.[Chang-Chun], Liu, Y.H.[Yun-He], Ren, X.[Xiuyan], Zhang, B.[Bo], Qiu, C.[Changkai], Xiong, B.[Bin], Baranwal, V.C.[Vikas Chand],
Sparse-Promoting 3-D Airborne Electromagnetic Inversion Based on Shearlet Transform,
GeoRS(60), 2022, pp. 1-13.
IEEE DOI 2112
Wavelet transforms, Frequency-domain analysis, Data models, Solid modeling, Geology, Computational modeling, sparse regularized BibRef

Kerr, A.J.[Andrew J.], Scott, W.R.[Waymond R.], McClellan, J.H.[James H.],
Performance Bounds for Target Parameter Estimation From Frequency-Domain Electromagnetic Induction Data,
GeoRS(60), 2022, pp. 1-13.
IEEE DOI 2112
Electromagnetic interference, Tensors, Frequency measurement, Frequency-domain analysis, Magnetic sensors, Magnetic moments, maximum likelihood estimation BibRef

Chen, K.[Kecheng], Pu, X.R.[Xiao-Rong], Ren, Y.Z.[Ya-Zhou], Qiu, H.[Hang], Lin, F.[Fanqiang], Zhang, S.[Saimin],
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation,
GeoRS(60), 2022, pp. 1-18.
IEEE DOI 2112
Noise reduction, Wavelet transforms, Signal denoising, Image denoising, Kalman filters, Transient analysis, transient electromagnetic BibRef

Xu, Z.Y.[Zheng-Yu], Fu, Z.H.[Zhi-Hong], Fu, N.[Nengyi],
Firefly Algorithm for Transient Electromagnetic Inversion,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI 2112
Conductivity, Electromagnetics, Brightness, Transient analysis, Particle swarm optimization, Linear programming, transient electromagnetic (TEM) method BibRef

Qi, Y.[Yanfu], Li, X.[Xiu], Yin, C.C.[Chang-Chun], Li, H.Y.[Huai-Yuan], Qi, Z.P.[Zhi-Peng], Zhou, J.M.[Jian-Mei], Liu, Y.H.[Yun-He], Ren, X.Y.[Xiu-Yan],
3-D Time-Domain Airborne EM Inversion for a Topographic Earth,
GeoRS(60), 2022, pp. 1-13.
IEEE DOI 2112
Surfaces, Time-domain analysis, Mathematical model, Solid modeling, Earth, Atmospheric modeling, Computational modeling, 3-D inversion, unstructured finite-element method BibRef

Li, R.H.[Rui-Heng], Yu, N.[Nian], Wang, X.[Xuben], Liu, Y.[Yang], Cai, Z.K.[Zhi-Kun], Wang, E.[Enci],
Model-Based Synthetic Geoelectric Sampling for Magnetotelluric Inversion With Deep Neural Networks,
GeoRS(60), 2022, pp. 1-14.
IEEE DOI 2112
Training, Conductivity, Artificial neural networks, Predictive models, Data models, Neurons, Mathematical model, training sample BibRef

Hong, D.C.[De-Cheng], Chen, T.[Tao], He, Q.[Qiuli], Ren, Q.[Qiang],
Foundation of Ultradeep Boundary Detection Based on the Electric Field Characteristics,
GeoRS(60), 2022, pp. 1-11.
IEEE DOI 2112
Tools, Coils, Voltage measurement, Antenna measurements, Magnetic domains, Receiving antennas, Conductivity, ultradeep detection BibRef

Quan, S.N.[Si-Nong], Qin, Y.[Yao], Xiang, D.L.[De-Liang], Wang, W.[Wei], Wang, X.S.[Xue-Song],
Polarimetric Decomposition-Based Unified Manmade Target Scattering Characterization With Mathematical Programming Strategies,
GeoRS(60), 2022, pp. 1-18.
IEEE DOI 2112
Scattering, Electromagnetic scattering, Mathematical programming, Mathematical model, Eigenvalues and eigenfunctions, unified scattering characterization BibRef

Semenikhina, D.V.[Diana V.], Gorbatenko, N.N.[Nikolay N.],
Nonlinear Cylindrical Markers Using Metamaterials,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Gennarelli, G.[Gianluca], Ludeno, G.[Giovanni], Carlo, N.[Noviello], Catapano, I.[Ilaria], Soldovieri, F.[Francesco],
The Role of Model Dimensionality in Linear Inverse Scattering from Dielectric Objects,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Xiao, E.[Enzhao], Jiang, F.[Feng], Guo, J.X.[Jing-Xue], Latif, K.[Khalid], Fu, L.[Lei], Sun, B.[Bo],
3D Interpretation of a Broadband Magnetotelluric Data Set Collected in the South of the Chinese Zhongshan Station at Prydz Bay, East Antarctica,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Rao, Z.M.[Zhen-Min], Zhu, G.Q.[Guo-Qiang], He, S.Y.[Si-Yuan], Li, C.[Chao], Yang, Z.W.[Ze-Wang], Liu, J.[Jian],
Simulation and Analysis of Electromagnetic Scattering from Anisotropic Plasma-Coated Electrically Large and Complex Targets,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Feng, N.X.[Nai-Xing], Zhang, Y.X.[Yu-Xian], Huang, Z.X.[Zhi-Xiang], Yang, L.X.[Li-Xia], Wu, X.L.[Xian-Liang],
Numerical Prediction of Duality Principle with Bloch-Floquet Periodic Boundary Condition in Fully Anisotropic FDTD,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
Finite-Difference Time-Domain. BibRef

Zhou, H.[Huaji], Bai, J.[Jing], Niu, L.C.[Lin-Chun], Xu, J.[Jie], Xiao, Z.[Zhu], Zheng, S.L.[Shi-Lian], Jiao, L.C.[Li-Cheng], Yang, X.N.[Xiao-Niu],
Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Pérez, M.[Marina], Parras, J.[Juan], Zazo, S.[Santiago], Álvarez, I.A.P.[Iván A. Pérez], del Mar Sanz-Lluch, M.[María],
Using a Deep Learning Algorithm to Improve the Results Obtained in the Recognition of Vessels Size and Trajectory Patterns in Shallow Areas Based on Magnetic Field Measurements Using Fluxgate Sensors,
ITS(23), No. 4, April 2022, pp. 3472-3481.
IEEE DOI 2204
Magnetic sensors, Sensors, Sensitivity, Magnetoacoustic effects, Sensor phenomena and characterization, Magnetic cores, pattern recognition BibRef

Ma, G.Q.[Guo-Qing], Zhao, Y.[Yanan], Xu, B.[Bowen], Li, L.[Lili], Wang, T.[Taihan],
High-Precision Joint Magnetization Vector Inversion Method of Airborne Magnetic and Gradient Data with Structure and Data Double Constraints,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Luo, T.Y.[Tian-Ya], Hu, X.Y.[Xiang-Yun], Chen, L.W.[Long-Wei], Xu, G.L.[Gui-Lin],
Investigating the Magnetotelluric Responses in Electrical Anisotropic Media,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Jia, P.P.[Ping-Ping], Zhang, J.H.[Jun-Hua], He, W.[Wei], Hu, Y.[Yi], Zeng, R.[Rong], Zamanian, K.[Kazem], Jia, K.[Keli], Zhao, X.N.[Xiao-Ning],
Combination of Hyperspectral and Machine Learning to Invert Soil Electrical Conductivity,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Liu, H.[Huan], Jin, B.[Bangti], Lu, X.L.[Xi-Liang],
Imaging Anisotropic Conductivities from Current Densities,
SIIMS(15), No. 2, 2022, pp. 860-891.
DOI Link 2206
BibRef

Yang, H.N.[Hai-Ning], Liu, Y.T.[Yu-Ting], Li, T.J.[Ting-Jun], Yi, S.[Shijia], Li, N.[Na],
A Universal Multi-Frequency Micro-Resistivity Array Imaging Method for Subsurface Sensing,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Kang, Z.Z.[Zhuang-Zhuang], Wang, H.N.[Hong-Nian], Yin, C.C.[Chang-Chun],
Finite-Region Approximation of EM Fields in Layered Biaxial Anisotropic Media,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xie, A.[Ailun], Liu, X.B.[Xia-Bin], Zhao, F.[Feng], Xiao, S.P.[Shun-Ping],
Pulse Radar Imaging Method in an Anechoic Chamber Based on an Amplitude Modulation Design,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Karaoulis, M.[Marios], Ritsema, I.[Ipo], Bremmer, C.[Chris], de Kleine, M.[Marco], Essink, G.O.[Gualbert Oude], Ahlrichs, E.[Edvard],
Drone-Borne Electromagnetic (DR-EM) Surveying in The Netherlands: Lab and Field Validation Results,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Ylagan, S.[Shane], Brye, K.R.[Kristofor R.], Ashworth, A.J.[Amanda J.], Owens, P.R.[Phillip R.], Smith, H.[Harrison], Poncet, A.M.[Aurelie M.],
Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Liu, G.[Gaigai], Zhang, Y.Z.[Ying-Zi], Wang, C.[Chen], Li, Q.[Qiang], Li, F.[Fei], Liu, W.[Wenyi],
A New Magnetic Target Localization Method Based on Two-Point Magnetic Gradient Tensor,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Lu, Q.[Qiang], Han, Q.L.[Qing-Long], Peng, D.L.[Dong-Liang], Choi, Y.J.[Young-Jin],
Decision and Event-Based Fixed-Time Consensus Control for Electromagnetic Source Localization,
Cyber(52), No. 4, April 2022, pp. 2186-2199.
IEEE DOI 2204
Electromagnetics, Multi-agent systems, Robot kinematics, Convergence, Multi-robot systems, Real-time systems, multiple mobile robots BibRef

Pavez, M.[Maximiliano], Diaz, D.[Daniel], Brasse, H.[Heinrich], Kapinos, G.[Gerhard], Budach, I.[Ingmar], Goldberg, V.[Valentin], Morata, D.[Diego], Schill, E.[Eva],
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