An Iterative Algorithm for Imaging of Rough Surfaces Separating Two Dielectric Media

Sefer, Ahmet; Yapar, Ali

doi:10.1109/tgrs.2020.2997637

Cited by 16 publications

(1 citation statement)

References 43 publications

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“…These classes of approaches, although more computationally expensive, are particularly advantageous when certain geometric configurations and specific soils are present in the domain. In addition, several radar-like techniques [ 37 , 38 , 39 , 40 ] have been recently proposed in this research area to allow soil profiling, so that retrieved soil configuration can be accurately integrated into the electromagnetic model as a priori information [ 41 ]. Finally, hybrid solutions combining analytical and numerical models have also been proposed [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique

Schenone

Estatico

Gragnani

et al. 2022

Sensors

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A microwave characterization technique to inspect subsurface scenarios is proposed and numerically assessed in this paper. The approach is based on a combination of finite element electromagnetic modeling and an inversion procedure in Lebesgue spaces with variable exponents. The former allows for description of the measurement system and subsurface scenario with high accuracy, while the latter exploits the adaptive definition of exponent function to achieve improved results in the regularized solution of the inverse scattering problem. The method has been assessed with numerical simulations regarding two-layered environments with both planar and non-planar air–soil interfaces. The results show the capabilities of the method of detecting buried objects in different operative conditions.

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Section: Introductionmentioning

confidence: 99%

Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique

Schenone

Estatico

Gragnani

et al. 2022

Sensors

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show abstract

An efficient surface profile measurement with the scanning path based on Hilbert and Gosper fractal curves

et al. 2022

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Reconstruction of rough surfaces from a single receiver at grazing angle

Chen,

Spivack,

Rath Spivack

2024

IET Science Measure & Tech

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This article develops a method for recovering a one‐dimensional rough surface profile from scattered wave field, using a single receiver and repeated measurements when the surface is moving with respect to source and receiver. This extends a previously introduced marching method utilizing low grazing angles, and addresses the key issue of the requirement for many simultaneous receivers. The algorithm recovers the surface height below the receiver point step‐by‐step as the surface is moved, using the parabolic wave integral equations. Numerical examples of reconstructed surfaces demonstrate that the method is robust in both Dirichlet and Neumann boundary conditions, and with respect to different roughness characteristics and measurement noise.

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An Iterative Algorithm for Imaging of Rough Surfaces Separating Two Dielectric Media

Cited by 16 publications

References 43 publications

Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique

Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique

An efficient surface profile measurement with the scanning path based on Hilbert and Gosper fractal curves

Reconstruction of rough surfaces from a single receiver at grazing angle

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