A Simple Processing Approach for Holographic Rascan Data

Soldovieri, Francesco; Morabito, Andrea Francesco; D’Agostino, Francesco; Ivashov, Sergey; Razevig, Vladimir; Vasilyev, and Igor

doi:10.2528/pier10062905

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…Different approaches have been introduced and proposed for both clutter and noise reduction such as background subtraction based method [2], clutter model approach [3,4], wavelet transform approach [5,6], and subspace projection based method [7][8][9][10][11][12]. Singular value decomposition (SVD) is a statistic based method of subspace projection which is considered by many researchers for building a robust GPR target signal enhancement as follows.…”

Section: Introductionmentioning

confidence: 99%

GPR Target Signal Enhancement Using Least Square Fitting Background and Multiple Clustering of Singular Values

Rohman¹,

Nishimoto²

2019

PIER Letters

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Ground penetrating radar is an effective nondestructive method for exploring subsurface object information by exploiting the differences in electromagnetic characteristics. However, this task is negatively affected by the existence of ground clutter and noise especially if the object is weak or/and shallowly buried. Therefore, this paper proposes a novel method for suppressing the clutter and background noise simultaneously in both flat and rough surfaces. First, the ground clutter is removed mainly by applying a simplified least square fitting background method, which remains the residual random noise signal. The remaining signal is then decomposed by singular value decomposition, which assumes that the decomposed signal contains four main components including strong target, weak target, very weak target, and accumulated noise signals. The powered singular values and their differences are clustered by K-means to extract the target signal components. The simulation results indicate that the proposed method is able to enhance the target signal with satisfactory results under both flat and rough surfaces as well as in a high-level background noise. Besides, this method also shows its superiority to the latest existing proposed methods.

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Section: Introductionmentioning

confidence: 99%

GPR Target Signal Enhancement Using Least Square Fitting Background and Multiple Clustering of Singular Values

Rohman¹,

Nishimoto²

2019

PIER Letters

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“…In this paper, this problem will be overcome by injecting the reference signal by means of an appropriate tilt of the antennas. This approach is common in subsurface radars [22,23] and, moreover, it has also shown good properties to synthesize the phase of the reference signal in conventional frequency-domain indirect holography by combining this injection with a convenient mechanical movement [24].…”

Section: Introductionmentioning

confidence: 99%

Phase retrieval technique for submillimetre‐wave frequency scanning‐based radar system

Laviada

Álvarez-López

Camblor-Diaz

et al. 2014

IET Microwaves, Antennas & Propagation

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A phaseless setup for a submillimetre‐wave frequency scanning‐based radar system is presented. The phase retrieval setup is implemented by modifying a previous implementation at microwave frequencies. In the new setup, the number of involved components (e.g. directional couplers, power combiners etc.) is reduced by including a time‐domain reference signal by means of direct radiation, yielding a low‐cost submillimetre‐wave radar system that avoids the need for phase shifters. Several measurement examples are shown to illustrate the performance of the system.

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“…Recent works in microwave imaging, in particular for buried targets reconstructions, are concerned with the development of fast linear algorithms allowing the detection and the localization of the scatterers [see, e.g., Soldovieri , 2010; Litman et al , 2010; Soldovieri et al , 2011]. These methods which present a low computational time and a relatively low memory requirement allow exploring large spatial regions.…”

Section: Introductionmentioning

confidence: 99%

A large 3D target with small inner details: A difficult cocktail for imaging purposes without a priori knowledge on the scatterers geometry

Eyraud¹,

Geffrin²,

Litman³

et al. 2012

Radio Science

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[1] To accurately image a complex shape but large 3D target whose scattered field has been measured in an anechoic environment at high frequencies (18 and 20 GHz), we have developed a complete imaging process, combining experimental and numerical works. The adopted strategy exploits the maximum of available information related to the measurements, both in terms of quantity and accuracy without any a priori knowledge on the scatterer geometry. We first determine the position and then the dimension of the spatial domain which contains the target. This localization is realized directly from the analysis of the spectrum of the measured fields taking into account the random noise disturbing the measurement points. Then, we construct a quantitative permittivity map of this investigation domain thanks to an iterative inversion procedure based on a Bayesian formulation where the spatial diversity of the real random noise is adequately exploited. By following this strategy, we have been able to quantitatively retrieve the target both in terms of dimension, shape and electromagnetic properties, even with a very limited number of measurement points and for a single polarization case. With such a process, even spheres with a diameter equal to l/3 are correctly reconstructed at 20 GHz.Citation: Eyraud, C., J.-M. Geffrin, A. Litman, and J.-P. Spinelli (2012), A large 3D target with small inner details: A difficult cocktail for imaging purposes without a priori knowledge on the scatterers geometry, Radio Sci., 47, RS0E23,

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A Simple Processing Approach for Holographic Rascan Data

Cited by 5 publications

References 15 publications

GPR Target Signal Enhancement Using Least Square Fitting Background and Multiple Clustering of Singular Values

GPR Target Signal Enhancement Using Least Square Fitting Background and Multiple Clustering of Singular Values

Phase retrieval technique for submillimetre‐wave frequency scanning‐based radar system

A large 3D target with small inner details: A difficult cocktail for imaging purposes without a priori knowledge on the scatterers geometry

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