| Title: | Comparative Study of GPR Acquisition Methods for Shallow Buried Object Detection |
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| Authors: | ID Smogavec, Primož, Faculty of Electrical Engineering and Computer Science, The University of Maribor, Koroška cesta 45, 2000 Maribor, Slovenia (Author)
ID Pongrac, Blaž, Faculty of Electrical Engineering and Computer Science, The University of Maribor, Koroška cesta 45, 2000 Maribor, Slovenia (Author)
ID Sarjaš, Andrej, Faculty of Electrical Engineering and Computer Science, The University of Maribor, Koroška cesta 45, 2000 Maribor, Slovenia (Author)
ID Kafedziski, Venceslav, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University of Skopje, 1000 Skopje, North Macedonia (Author)
ID Dončov, Nabojša, Faculty of Electronic Engineering, University of Niš, 18104 Niš, Serbia (Author)
ID Gleich, Dušan, Faculty of Electrical Engineering and Computer Science, The University of Maribor, Koroška cesta 45, 2000 Maribor, Slovenia (Author) |
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| Files: |  remotesensing-16-03931-v2.pdf (12,83 MB)
MD5: F9ECA8453BD1A78FBCEEA030BF23F162
 https://www.mdpi.com/2072-4292/16/21/3931/pdf
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | This paper investigates the use of ground-penetrating radar (GPR) technology for detecting shallow buried objects, utilizing an air-coupled stepped frequency continuous wave (SFCW) radar system that operates within a 2 GHz bandwidth starting at 500 MHz. Different GPR data acquisition methods for air-coupled systems are compared, specifically down-looking, side-looking, and circular acquisition strategies, employing the back projection algorithm to provide focusing of the acquired GPR data. Experimental results showed that the GPR can penetrate up to 0.6 m below the surface in a down-looking mode. The developed radar and the back projection focusing algorithm were used to acquire data in the side-looking and circular mode, providing focused images with a resolution of 0.1 m and detecting subsurface objects up to 0.3 m below the surface. The proposed approach transforms B-scans of the GPR-based data into 2D images. The provided approach has significant potential for advancing shallow object detection capabilities by transforming hyperbola-based features into point-like features. |
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| Keywords: | GPR, UAV, SFCW radar, acquisition methods |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 19.08.2024 |
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| Article acceptance date: | 20.10.2024 |
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| Publication date: | 22.10.2024 |
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| Publisher: | MDPI |
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| Year of publishing: | 2024 |
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| Number of pages: | 25 |
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| Numbering: | Vol. 16, no. 21 |
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| PID: | 20.500.12556/DKUM-91223  |
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| UDC: | 621.39 |
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| ISSN on article: | 2072-4292 |
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| eISSN: | 2072-4292 |
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| COBISS.SI-ID: | 217656067 |
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| DOI: | 10.3390/rs16213931 |
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| Copyright: | © 2024 by the authors. |
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| Publication date in DKUM: | 04.12.2024 |
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| Views: | 153 |
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| Downloads: | 36 |
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| Metadata: |    |
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| Categories: | Misc.
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