IEICE TRANSACTIONS on Electronics
Contrast Source Inversion for Objects Buried into Multi-Layered Media for Subsurface Imaging Applications
Summary :
This study proposes a low-complexity permittivity estimation for ground penetrating radar applications based on a contrast source inversion (CSI) approach, assuming multilayered ground media. The homogeneity assumption for each background layer is used to address the ill-posed condition while maintaining accuracy for permittivity reconstruction, significantly reducing the number of unknowns. Using an appropriate initial guess for each layer, the post-CSI approach also provides the dielectric profile of a buried object. The finite difference time domain numerical tests show that the proposed approach significantly enhances reconstruction accuracy for buried objects compared with the traditional CSI approach.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E106-C No.7 pp.427-431
- Publication Date
- 2023/07/01
- Publicized
- 2023/01/20
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.2022ECS6008
- Type of Manuscript
- BRIEF PAPER
- Category
- Electromagnetic Theory
Authors
Yoshihiro YAMAUCHI
University of Electro-Communications
Shouhei KIDERA
University of Electro-Communications
Keyword
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Yoshihiro YAMAUCHI, Shouhei KIDERA, "Contrast Source Inversion for Objects Buried into Multi-Layered Media for Subsurface Imaging Applications" in IEICE TRANSACTIONS on Electronics,
vol. E106-C, no. 7, pp. 427-431, July 2023, doi: 10.1587/transele.2022ECS6008.
Abstract: This study proposes a low-complexity permittivity estimation for ground penetrating radar applications based on a contrast source inversion (CSI) approach, assuming multilayered ground media. The homogeneity assumption for each background layer is used to address the ill-posed condition while maintaining accuracy for permittivity reconstruction, significantly reducing the number of unknowns. Using an appropriate initial guess for each layer, the post-CSI approach also provides the dielectric profile of a buried object. The finite difference time domain numerical tests show that the proposed approach significantly enhances reconstruction accuracy for buried objects compared with the traditional CSI approach.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.2022ECS6008/_p
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@ARTICLE{e106-c_7_427,
author={Yoshihiro YAMAUCHI, Shouhei KIDERA, },
journal={IEICE TRANSACTIONS on Electronics},
title={Contrast Source Inversion for Objects Buried into Multi-Layered Media for Subsurface Imaging Applications},
year={2023},
volume={E106-C},
number={7},
pages={427-431},
abstract={This study proposes a low-complexity permittivity estimation for ground penetrating radar applications based on a contrast source inversion (CSI) approach, assuming multilayered ground media. The homogeneity assumption for each background layer is used to address the ill-posed condition while maintaining accuracy for permittivity reconstruction, significantly reducing the number of unknowns. Using an appropriate initial guess for each layer, the post-CSI approach also provides the dielectric profile of a buried object. The finite difference time domain numerical tests show that the proposed approach significantly enhances reconstruction accuracy for buried objects compared with the traditional CSI approach.},
keywords={},
doi={10.1587/transele.2022ECS6008},
ISSN={1745-1353},
month={July},}
Copy
TY - JOUR
TI - Contrast Source Inversion for Objects Buried into Multi-Layered Media for Subsurface Imaging Applications
T2 - IEICE TRANSACTIONS on Electronics
SP - 427
EP - 431
AU - Yoshihiro YAMAUCHI
AU - Shouhei KIDERA
PY - 2023
DO - 10.1587/transele.2022ECS6008
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E106-C
IS - 7
JA - IEICE TRANSACTIONS on Electronics
Y1 - July 2023
AB - This study proposes a low-complexity permittivity estimation for ground penetrating radar applications based on a contrast source inversion (CSI) approach, assuming multilayered ground media. The homogeneity assumption for each background layer is used to address the ill-posed condition while maintaining accuracy for permittivity reconstruction, significantly reducing the number of unknowns. Using an appropriate initial guess for each layer, the post-CSI approach also provides the dielectric profile of a buried object. The finite difference time domain numerical tests show that the proposed approach significantly enhances reconstruction accuracy for buried objects compared with the traditional CSI approach.
ER -
English
