Incorporation Algorithm with RPM and DBIM in Bayesian Framework for Microwave Non-destructive Testing

Takahashi, Shuto; Kidera, Shouhei

doi:10.23919/ursiap-rasc.2019.8738236

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Given this background and limitations of existing approaches, this paper proposes a bi-directional updating algorithm between radar and tomographic images, developing on the basic idea proposed in [37], [38], but they are based on the DBIM. The CSI method was used as its effectiveness has been demonstrated in various applications.…”

Section: Introductionmentioning

confidence: 99%

Microwave Subsurface Imaging Method by Incorporating Radar and Tomographic Approaches

Takahashi

Suzuki

Hanabusa

et al. 2022

IEEE Trans. Antennas Propagat.

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Due to its high resolution and deep penetration depth, microwave ultrawideband radar is a promising tool for the non-destructive testing (NDT) of transportation infrastructure. Microwave radiation can also be used to reconstruct the dielectric properties of objects and therefore can be used to detect an air cavity or metallic rust in concrete. We used contrast source inversion (CSI) as one of the most promising inverse scattering schemes. To resolve the observation domain limitations of nondestructive testing, radar imaging method, also known as range points migration (RPM) method, was first incorporated into the inverse scattering algorithm based on CSI as a region of interest (ROI) estimator, which substantially improves the accuracy of complex permittivity reconstruction. In addition, the ROI optimizing scheme based on the CSI cost function is used to enhance ROI accuracy. The effectiveness of the proposed methods is validated via finite-difference timedomain (FDTD)-based numerical simulation, which assumes typical NDT model.

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Section: Introductionmentioning

confidence: 99%

Microwave Subsurface Imaging Method by Incorporating Radar and Tomographic Approaches

Takahashi

Suzuki

Hanabusa

et al. 2022

IEEE Trans. Antennas Propagat.

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Complex Permittivity Imaging by Incorporating Synthetic Aperture Radar and Inverse Scattering Method for Stratified Ground Medium

Yamauchi,

Kidera

2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This paper introduces the incorporation approach with synthetic aperture radar (SAR) and contrast source inversion (CSI) based non-linear inverse scattering (NIS) approach for quantitative permittivity imaging for buried object under multi-layered heterogeneous ground media. It is challenging issue to retrieve a complex permittivity from ground penetrating radar (GPR) data, since the NIS problem considerably suffers from inaccuracy due to severe ill-posed condition. To overcome this limitation, this paper introduces the SAR image based region of interest (ROI) limitation in the CSI optimization scheme, where the number of unknowns are massively reduced. Furthermore, the SAR image is also upgraded by the pre-CSI optimization, where the Green's function and background clutter for heterogeneous background (e.g., multi-layered medium) are accurately generated. The FDTD based numerical tests, assuming GPR observation model, show that our proposed scheme effectively reconstructs a dielectric property of buried object, even in severe condition.

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Contrast Source Inversion-Enhanced Synthetic Aperture Approach for Microwave Multilayered Subsurface Imaging

Yamauchi,

Kidera

2023

IEEE Trans. Antennas Propagat.

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Incorporation Algorithm with RPM and DBIM in Bayesian Framework for Microwave Non-destructive Testing

Cited by 5 publications

References 6 publications

Microwave Subsurface Imaging Method by Incorporating Radar and Tomographic Approaches

Microwave Subsurface Imaging Method by Incorporating Radar and Tomographic Approaches

Complex Permittivity Imaging by Incorporating Synthetic Aperture Radar and Inverse Scattering Method for Stratified Ground Medium

Contrast Source Inversion-Enhanced Synthetic Aperture Approach for Microwave Multilayered Subsurface Imaging

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