Detecting and Locating Dielectric Objects Buried Under a Rough Interface

Altuncu, Yasemin; Akduman, İbrahim; Yapar, Ali

doi:10.1109/lgrs.2007.890550

Cited by 26 publications

(11 citation statements)

References 10 publications

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“…There are several methods for filtering out false reflections from surface relief. For ultrawide-band (UWB) ISR, this can be done by gating the reflected signal by range or by other methods using the high spatial resolution of UWB radars [73,90,91]. For HSR, this cannot be used, since the signal is CW, either monochromatic [10,87] or multi-frequency There are several methods for filtering out false reflections from surface relief.…”

Section: Photomentioning

confidence: 99%

“…For HSR, this cannot be used, since the signal is CW, either monochromatic [10,87] or multi-frequency There are several methods for filtering out false reflections from surface relief. For ultrawide-band (UWB) ISR, this can be done by gating the reflected signal by range or by other methods using the high spatial resolution of UWB radars [73,90,91]. For HSR, this cannot be used, since the signal is CW, either monochromatic [10,87] or multi-frequency [31], which is insufficient to obtain the required range resolution.…”

Section: Photomentioning

confidence: 99%

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Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories

et al. 2021

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Holographic subsurface radar (HSR) is not currently in widespread usage. This is due to a historical perspective in the ground-penetrating radar (GPR) community that the high attenuation of electromagnetic waves in most media of interest and the inability to apply time-varying gain to the continuous-wave (CW) HSR signal preclude sufficient effective penetration depth. While it is true that the fundamental physics of HSR, with its use of a CW signal, does not allow amplification of later (i.e., deeper) arrivals in lossy media (as is possible with impulse subsurface radar (ISR)), HSR has distinct advantages. The most important of these is the ability to do shallow subsurface imaging with a resolution that is not possible with ISR. In addition, the design of an HSR system is simpler than for ISR due to the relatively low-tech transmitting and receiving antennae. This paper provides a review of the main principles of HSR through an optical analogy and describes possible algorithms for radar hologram reconstruction. We also present a review of the history of development of systems and applications of the RASCAN type, which is possibly the only commercially available holographic subsurface radar. Among the subsurface imaging and remote sensing applications considered are humanitarian demining, construction inspection, nondestructive testing of dielectric aerospace materials, surveys of historic architecture and artworks, paleontology, and security screening. Each application is illustrated with relevant data acquired in laboratory and/or field experiments.

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Section: Photomentioning

confidence: 99%

Section: Photomentioning

confidence: 99%

Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories

et al. 2021

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show abstract

“…There are several methods for filtering out false reflections from surface relief. For ultrawide-band (UWB) ISR, this can be done by gating the reflected signal by range or by other methods using the high spatial resolution of UWB radars [73,90,91]. For HSR, this cannot be used, since the signal is CW, either monochromatic [10,87] or multi-frequency [31], which is insufficient to obtain the required range resolution.…”

Section: Photomentioning

confidence: 99%

Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories

Ivashov¹,

Capineri²,

Bechtel³

et al. 2021

Preprint

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Holographic subsurface radar (HSR) is not currently not in widespread usage. This is due to an historical perspective in the ground penetrating radar (GPR) community that the high attenuation of electromagnetic waves in most media of interest, and the inability to apply timevarying gain to the continuous wave (CW) HSR signal precludes sufficient effective penetration depth. While it is true that the fundamental physics of HSR, with its use of a CW signal, does not allow amplification of later (i.e. deeper) arrivals in lossy media (as is possible with impulse subsurface radar — ISR), HSR has distinct advantages. The most important of these is the ability to do shallow subsurface imaging with a resolution that is not possible with ISR. In addition, the design of an HSR system is simpler than for ISR due to the relatively low-tech transmitting and receiving antennae. This paper provides a review of the main principles of HSR through an optical analogy and describes possible algorithms for radar hologram reconstruction. We also present a review of the history of development of systems and applications for HSR of the “RASCAN” type which is possibly the only commercially available holographic subsurface radars. Among the subsurface imaging and remote sensing applications considered are humanitarian demining, construction inspection, nondestructive testing of dielectric aerospace materials, surveys of historic architecture and artworks, paleontology, and security screening. Each application is illustrated with relevant data acquired in laboratory and/or field experiments.

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“…By observing the surface impedance, the location of the dielectric objects buried beneath the surface is obtained in [7,8]. Several methods also use standard, modified, or distorted Born iterative methods along with methods such as conjugate gradient, fast Fourier transform, and singular value decomposition (SVD) for imaging objects buried beneath a rough surface [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

3D Imaging of Dielectric Objects Buried under a Rough Surface by Using CSI

Tetik

Akduman

2015

International Journal of Antennas and Propagation

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A 3D scalar electromagnetic imaging of dielectric objects buried under a rough surface is presented. The problem has been treated as a 3D scalar problem for computational simplicity as a first step to the 3D vector problem. The complexity of the background in which the object is buried is simplified by obtaining Green's function of its background, which consists of two homogeneous half-spaces, and a rough interface between them, by using Buried Object Approach (BOA). Green's function of the two-part space with planar interface is obtained to be used in the process. Reconstruction of the location, shape, and constitutive parameters of the objects is achieved by Contrast Source Inversion (CSI) method with conjugate gradient. The scattered field data that is used in the inverse problem is obtained via both Method of Moments (MoM) and Comsol Multiphysics pressure acoustics model.

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Detecting and Locating Dielectric Objects Buried Under a Rough Interface

Cited by 26 publications

References 10 publications

Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories

Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories

Design and Applications of Multi-Frequency Holographic Subsurface Radar: Review and Case Histories

3D Imaging of Dielectric Objects Buried under a Rough Surface by Using CSI

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