IEEE Geoscience and Remote Sensing Magazine - December 2022 - 89

[82] D. Feng, C. Cao, and X. Wang, " Multiscale full-waveform dualparameter
inversion based on total variation regularization to
on-ground GPR data, " IEEE Trans. Geosci. Remote Sens., vol. 57,
no. 11, pp. 9450-9465, Nov. 2019, doi: 10.1109/TGRS.2019.
2926626.
[83] D. Lee, S. Shin, W. Son, and W. Chung, " Zero-offset data estimation
using CNN for applying 1d full waveform inversion, "
J. Geophys. Eng., vol. 19, no. 1, pp. 39-50, 2022, doi: 10.1093/
jge/gxab072.
[84] Y. Liu, J. Irving, and K. Holliger, " High-resolution velocity estimation
from surface-based common-offset GPR reflection
data, " Geophys. J. Int., vol. 230, no. 1, pp. 131-144, 2022, doi:
10.1093/gji/ggac058.
[85] D. Feng, S. Ding, X. Wang, and X. Wang, " Wavefield reconstruction
inversion of GPR data for permittivity and conductivity
models in the frequency domain based on modified total
variation regularization, " IEEE Trans. Geosci. Remote Sens.,
vol. 60, pp. 1-14, 2022, doi: 10.1109/TGRS.2021.3077476.
[86] Y. Li, X. Yang, T. Lan, R. Liu, and X. Qu, " Parameter inversion
by a modified reflected signal reconstruction method for thinlayered
media, " IEEE Antennas Wireless Propag. Lett., vol. 21, no.
5, pp. 958-962, May 2022, doi: 10.1109/LAWP.2022.3152843.
[87] Z. X. Leong and T. Zhu, " Direct velocity inversion of ground
penetrating radar data using GPRNet, " J. Geophys. Res.,
Solid Earth, vol. 126, no. 6, p. e2020JB021047, 2021, doi:
10.1029/2020JB021047.
[88] H. Zhou, M. Sato, and H. Liu, " Migration velocity analysis and
prestack migration of common-transmitter GPR data, " IEEE
Trans. Geosci. Remote Sens., vol. 43, no. 1, pp. 86-91, Jan. 2005,
doi: 10.1109/TGRS.2004.839920.
[89] Z. Liu and N. Bleistein, " Migration velocity analysis: Theory
and an iterative algorithm, " Geophysics, vol. 60, no. 1, pp. 142-
153, Jan. 1995, doi: 10.1190/1.1443741.
[90] C. Özdemir, S∙. Demirci, E. Yig˘it, and B. Yilmaz, " A review on
migration methods in B-scan ground penetrating radar imaging, "
Math. Problems Eng., vol. 2014, Jun. 2014, Art. no. 280738,
doi: 10.1155/2014/280738.
[91] N. T. Van et al., " Kirchhoff migration for specifying velocity
model in ground penetrating radar method, " in Proc. 2012 14th
Int. Conf. Ground Penetrating Radar (GPR), pp. 419-424, doi:
10.1109/ICGPR.2012.6254902.
[92] D. Liu et al., " Electromagnetic time-reversal imaging of a target
in a cluttered environment, " IEEE Trans. Antennas Propag.,
vol. 53, no. 9, pp. 3058-3066, Sep. 2005, doi: 10.1109/
TAP.2005.854563.
[93] H. Liu, Z. Long, F. Han, G. Fang, and Q. H. Liu, " Frequencydomain
reverse-time migration of ground penetrating radar
based on layered medium green's functions, " IEEE J. Sel. Topics
Appl. Earth Observ. Remote Sens., vol. 11, no. 8, pp. 2957-2965,
Aug. 2018, doi: 10.1109/JSTARS.2018.2841361.
[94] A. Lellouch and E. Landa, " Seismic velocity estimation using
time-reversal focusing, " Geophysics, vol. 83, no. 4, pp. U43-
U50, 2018, doi: 10.1190/geo2017-0569.1.
[95] S. L. Panda, S. Maiti, and U. K. Sahoo, " Time reversal imaging
based subsurface velocity estimation, " in Proc. 14th SEGJ Int.
Symp., Tokyo, Japan: Society of Exploration Geophysicists and
DECEMBER 2022 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
Society of Exploration, Oct. 18-21, 2021, pp. 162-166, doi:
10.1190/segj2021-044.1.
[96] D. Feng, T. Li, G. Li, and X. Wang, " Reverse time migration
of GPR data based on accurate velocity estimation and artifacts
removal using total variation de-noising, " J. Appl. Geophys.,
vol. 198, p. 104,563, Mar. 2022, doi: 10.1016/j.jappgeo.2022.104563.
[97]
C. Li and J. Zhang, " Velocity analysis using separated diffractions
for lunar penetrating radar obtained by Yutu-2 rover, "
Remote Sens., vol. 13, no. 7, p. 1387, 2021, doi: 10.3390/
rs13071387.
[98] F. Soldovieri, G. Prisco, and R. Persico, " Application of microwave
tomography in hydrogeophysics: Some examples, "
Vadose Zone J., vol. 7, no. 1, pp. 160-170, 2008, doi: 10.2136/
vzj2006.0147.
[99] F. Soldovieri, G. Prisco, and R. Persico, " A strategy for the
determination of the dielectric permittivity of a lossy soil
exploiting GPR surface measurements and a cooperative target, "
J. Appl. Geophys., vol. 67, no. 4, pp. 288-295, 2009, doi:
10.1016/j.jappgeo.2008.09.007.
[100] A. Robert, " Dielectric permittivity of concrete between 50
MHZ and 1 GHZ and GPR measurements for building materials
evaluation, " J. Appl. Geophys., vol. 40, nos. 1-3, pp. 89-94,
1998, doi: 10.1016/S0926-9851(98)00009-3.
[101] H. Zadhoush, A. Giannopoulos, and I. Giannakis, " Optimising
the complex refractive index model for estimating the permittivity
of heterogeneous concrete models, " Remote Sens., vol.
13, no. 4, p. 723, 2021, doi: 10.3390/rs13040723.
[102] G. Gennarelli, I. Catapano, X. Dérobert, and F. Soldovieri,
" A ground penetrating radar imaging approach for a heterogeneous
subsoil with a vertical permittivity gradient, " IEEE
Trans. Geosci. Remote Sens., vol. 59, no. 7, pp. 5698-5710, 2020.
doi:10.1109/TGRS.2020.3024831
[103] Q. Cao and I. L. Al-Qadi, " Development of a numerical model
to predict the dielectric properties of heterogeneous asphalt
concrete, " Sensors, vol. 21, no. 8, p. 2643, 2021, doi: 10.3390/
s21082643.
[104] K. Z. Jadoon, S. Lambot, E. Slob, and H. Verrecken, " Investigation
of the frequency dependent antenna transfer functions
and phase center position for modeling off-ground GPR, " in
Proc. 8th Int. Conf. Ground Penetrating Radar, 2010, pp. 1-7, doi:
10.1109/ICGPR.2010.5550153.
[105] R. Persico et al., " Effect of the height of the observation line
on the the diffraction curve in GPR prospecting, " Near Surface
Geophys., vol. 13, no. 3, pp. 243-252, 2015, doi: 10.3997/18730604.2014042.
[106]
R. Solimene, A. D'Alterio, G. Gennarelli, and F. Soldovieri,
" Estimation of soil permittivity in presence of antenna-soil
interactions, " IEEE J. Sel. Topics Appl. Earth Observ. Remote
Sens., vol. 7, no. 3, pp. 805-812, Mar. 2014, doi: 10.1109/
JSTARS.2013.2268576.
[107] C. G. Gilmore, " A comparison of imaging methods using GPR
for landmine detection and a preliminary investigation into
the SEM for identification of buried objects, " M.S. thesis, Univ.
of Manitoba, Winnipeg, Canada, 2005.
GRS
89
http://dx.doi.org/10.1109/TGRS.2020.3024831
IEEE Geoscience and Remote Sensing Magazine - December 2022

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - December 2022
