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Articles de revues sur le sujet « Holographic subsurface RADAR »

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Auteur : Grafiati
Publié le 10 mars 2023

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1

Kopeikin, V. V., et A. V. Popov. « Design concepts of the holographic subsurface radar ». Radiophysics and Quantum Electronics 43, no 3 (mars 2000) : 202–10. http://dx.doi.org/10.1007/bf02677184.

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2

Ivashov, Sergey I., Lorenzo Capineri, Timothy D. Bechtel, Vladimir V. Razevig, Masaharu Inagaki, Nikolay L. Gueorguiev et Ahmet Kizilay. « Design and Applications of Multi-Frequency Holographic Subsurface Radar : Review and Case Histories ». Remote Sensing 13, no 17 (2 septembre 2021) : 3487. http://dx.doi.org/10.3390/rs13173487.

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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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3

Bossi, Luca, Pierluigi Falorni et Lorenzo Capineri. « Versatile Electronics for Microwave Holographic RADAR Based on Software Defined Radio Technology ». Electronics 11, no 18 (12 septembre 2022) : 2883. http://dx.doi.org/10.3390/electronics11182883.

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The NATO SPS G-5014 project has shown the possibility of using a holographic RADAR for the detection of anti-personnel mines. To use the RADAR on a robotic scanning system, it must be portable, light, easily integrated with mechanical handling systems and configurable in its operating parameters for optimal performance on different terrains. The novel contribution is to use software programmable electronics to optimize performance and to use a time reference to obtain synchronization between the RADAR samples and the position in space, in order to make it easy to integrate the RADAR on robotic platforms. To achieve these goals we used the Analog Devices “ADALM Pluto” device based on Software Defined Radio technology and a time server. We have obtained a portable system, configurable via software in all its operating parameters and easily integrated on robotic scanning platforms. The paper will show experiments performed on a simulated minefield. The electronics project reported in this work makes holographic RADARs portable and easily reconfigurable, therefore adaptable to different applications from subsurface soil investigations to applications in the field of non-destructive testings.
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4

Ivashov, Sergey I., Vladimir V. Razevig, Igor A. Vasiliev, Andrey V. Zhuravlev, Timothy D. Bechtel et Lorenzo Capineri. « Holographic Subsurface Radar of RASCAN Type : Development and Applications ». IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4, no 4 (décembre 2011) : 763–78. http://dx.doi.org/10.1109/jstars.2011.2161755.

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5

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

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In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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6

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

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Résumé :
In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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7

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

Texte intégral
Résumé :
In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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8

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

Texte intégral
Résumé :
In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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9

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

Texte intégral
Résumé :
In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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10

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

Texte intégral
Résumé :
In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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11

Popov, A. V., A. E. Reznikov, A. I. Berkut, D. E. Edemsky, P. A. Morozov et I. V. Prokopovich. « Methods and Algorithms of Subsurface Holographic Sounding ». Remote Sensing 14, no 20 (21 octobre 2022) : 5274. http://dx.doi.org/10.3390/rs14205274.

Texte intégral
Résumé :
In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
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12

Jung, Haewon, Dal-Jae Yun et Hoon Kang. « Focusing Technique for Holographic Subsurface Radar Based on Image Entropy ». Applied Computational Electromagnetics Society 36, no 4 (10 mai 2021) : 373–78. http://dx.doi.org/10.47037/2020.aces.j.360402.

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An image focusing method for holographic subsurface radar (HSR) is proposed herein. HSR is increasingly being utilized to survey objects buried at shallow depths and the acquired signals are converted into an image by a reconstruction algorithm. However, that algorithm requires actual depth and material information or depends on human decisions. In this paper, an entropy-based image focusing technique is proposed and validated by numerical simulation software package based on finite-difference time-domain method and experiment. The resulting images show good agreement with the actual positions and shapes of the targets.
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13

Ivashov, S. I., A. S. Bugaev, A. V. Zhuravlev, V. V. Razevig, M. A. Chizh et A. I. Ivashov. « Holographic Subsurface Radar Technique for Nondestructive Testing of Dielectric Structures ». Technical Physics 63, no 2 (février 2018) : 260–67. http://dx.doi.org/10.1134/s1063784218020184.

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14

Chaban, Antonina, Vivi Tornari, Rita Deiana, Michalis Andrianakis, David Giovannacci et Vincent Detalle. « A Combined Non-Invasive Approach to the Study of A Mosaic Model : First Laboratory Experimental Results ». Journal of Imaging 5, no 6 (10 juin 2019) : 58. http://dx.doi.org/10.3390/jimaging5060058.

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This paper presents first laboratory results of a combined approach carried out by the use of three different portable non-invasive electromagnetic methods: Digital holographic speckle pattern interferometry (DHSPI), stimulated infrared thermography (SIRT) and holographic subsurface radar (HSR), proposed for the analysis of a custom-built wall mosaic model. The model reproduces a series of defects (e.g., cracks, voids, detachments), simulating common deteriorated, restored or reshuffled areas in wall mosaics. DHSPI and SIRT, already well known in the field of non-destructive (NDT) methods, are full-field contactless techniques, providing complementary information on the subsurface hidden discontinuities. The use of DHSPI, based on optical imaging and interferometry, provides remote control and visualization of surface micro-deformation after induced thermal stress, while the use of SIRT allows visualization of thermal energy diffusion in the surface upon the induced thermal stress. DHSPI and SIRT data are complemented by the use of HSR, a contact method that provides localized information about the distribution of contrasts in dielectric permittivity and related possible anomalies. The experimental results, made by the combined use of these methods to the identification of the known anomalies in the mosaic model, are presented and discussed here as a contribution in the development of an efficient non-invasive approach to the in-situ subsurface analysis of ancient wall mosaics.
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15

Ivashov, Sergey I., I. A. Vasiliev, Timothy D. Bechtel et C. Snapp. « Comparison between Impulse and Holographic Subsurface Radar for NDT of Space Vehicle Structural Materials ». PIERS Online 3, no 5 (2007) : 658–61. http://dx.doi.org/10.2529/piers061004045944.

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16

Ivashov, S., V. Razevig, I. Vasiliev, T. Bechtel et L. Capineri. « Holographic subsurface radar for diagnostics of cryogenic fuel tank thermal insulation of space vehicles ». NDT & ; E International 69 (janvier 2015) : 48–54. http://dx.doi.org/10.1016/j.ndteint.2014.10.002.

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17

Chen, Cheng, Tao Liu, Yu Liu, Bosong Yang et Yi Su. « Learning-Based Clutter Mitigation with Subspace Projection and Sparse Representation in Holographic Subsurface Radar Imaging ». Remote Sensing 14, no 3 (31 janvier 2022) : 682. http://dx.doi.org/10.3390/rs14030682.

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The holographic subsurface radar (HSR) is an effective remote sensing modality for surveying shallowly buried objects with high resolution images in plan-view. However, strong reflections from the rough surface and inhomogeneities obscure the detection of stationary targets response. In this paper, a learning-based method is proposed to mitigate the clutter in HSR applications. The proposed method first decomposes the HSR image into raw clutter and target data using an adaptive subspace projection approach. Then, the autoencoder is applied to carry out unsupervised learning to extract the target features and mitigate the clutter. The sparse representation is also combined to further optimize the model and the alternating direction multiplier method (ADMM) is used to solve the optimization problem for precision and efficiency. Experiments using real data were conducted to demonstrate that the proposed method can effectively mitigate the strong clutter with the target preserved. The visual and quantitative results show that the proposed method achieves superior performance on suppressing clutter in HSR images compared with the widely used state-of-the-art clutter mitigation approaches.
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18

Ivashov, S., L. Capineri, T. Bechtel, V. Razevig, A. Zhuravlev et P. Falorni. « Use of holographic subsurface radar analysis in the preservation and restoration of cultural heritage objects ». Surface Topography : Metrology and Properties 7, no 4 (29 octobre 2019) : 045017. http://dx.doi.org/10.1088/2051-672x/ab4fa2.

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19

Capineri, L., P. Falorni, S. Ivashov, A. Zhuravlev, I. Vasiliev, V. Razevig, T. Bechtel et G. Stankiewicz. « Combined holographic subsurface radar and infrared thermography for diagnosis of the conditions of historical structures and artworks ». Near Surface Geophysics 8, no 5 (1 février 2010) : 355–64. http://dx.doi.org/10.3997/1873-0604.2010005.

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20

Bechtel, Timothy, Stanislav Truskavetsky, Gennadiy Pochanin, Lorenzo Capineri, Alexander Sherstyuk, Konstantin Viatkin, Tatyana Byndych et al. « Characterization of Electromagnetic Properties of In Situ Soils for the Design of Landmine Detection Sensors : Application in Donbass, Ukraine ». Remote Sensing 11, no 10 (24 mai 2019) : 1232. http://dx.doi.org/10.3390/rs11101232.

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To design holographic and impulse ground penetrating radar (GPR) sensors suitable for humanitarian de-mining in the Donbass (Ukraine) conflict zone, we measured critical electromagnetic parameters of typical local soils using simple methods that could be adapted to any geologic setting. Measurements were recorded along six profiles, each crossing at least two mapped soil types. The parameters selected to evaluate GPR and metal detector sensor performance were magnetic permeability, electrical conductivity, and dielectric permittivity. Magnetic permeability measurements indicated that local soils would be conducive to metal detector performance. Electrical conductivity measurements indicated that local soils would be medium to high loss materials for GPR. Calculation of the expected attenuation as a function of signal frequency suggested that 1 GHz may have optimized the trade-off between resolution and penetration and matched the impulse GPR system power budget. Dielectric permittivity was measured using both time domain reflectometry and impulse GPR. For the latter, a calibration procedure based on an in-situ measurement of reflection coefficient was proposed and the data were analyzed to show that soil conditions were suitable for the reliable use of impulse GPR. A distinct difference between the results of these two suggested a dry (low dielectric) soil surface, grading downward into more moist (higher dielectric) soils. This gradation may provide a matching layer to reduce ground surface reflections that often obscure shallow subsurface targets. In addition, the relatively high dielectric deeper (10 cm–20 cm) subsurface soils should provide a strong contrast with plastic-cased mines.
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21

Chen, Cheng, Yi Su, Zhihua He, Tao Liu et Xiaoji Song. « Clutter Mitigation in Holographic Subsurface Radar Imaging Using Generative Adversarial Network with Attentive Subspace Projection ». IEEE Transactions on Geoscience and Remote Sensing, 2022, 1. http://dx.doi.org/10.1109/tgrs.2022.3194560.

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22

Ivashov, S. I., V. V. Razevig, I. A. Vasiliev et V. S. Shitikov. « DIAGNOSTICS OF THERMAL INSULATION AND HEAT PROTECTION COATING OF SPACE SHIPS AND ROCKETS BY HOLOGRAPHIC SUBSURFACE RADAR RASCAN-5 ». Kontrol'. Diagnostika., 2014, 52–61. http://dx.doi.org/10.14489/td.2014.12.pp.052-061.

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23

Bugaev, A. S., S. I. Ivashov et V. V. Razevig. « Use of holographic subsurface radars to survey cultural heritage sites ». Achievements of Modern Radioelectronics, 2021. http://dx.doi.org/10.18127/j20700784-202110-02.

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