The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 연구에서는 다층 지상 매질을 가정하여 CSI(Contrast Source Inversion) 접근 방식을 기반으로 지상 관통 레이더 애플리케이션에 대한 낮은 복잡성의 유전율 추정을 제안합니다. 각 배경 레이어에 대한 균질성 가정은 유전율 재구성의 정확성을 유지하면서 잘못된 상태를 해결하는 데 사용되어 미지의 수를 크게 줄입니다. CSI 이후 접근 방식은 각 레이어에 대한 적절한 초기 추측을 사용하여 매설된 물체의 유전 프로파일도 제공합니다. 유한 차분 시간 영역 수치 테스트는 제안된 접근 방식이 기존 CSI 접근 방식에 비해 매몰된 개체에 대한 재구성 정확도를 크게 향상시키는 것을 보여줍니다.
Yoshihiro YAMAUCHI
University of Electro-Communications
Shouhei KIDERA
University of Electro-Communications
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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
부
@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},}
부
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 -