20.500.12556/DKUM-91223 Comparative Study of GPR Acquisition Methods for Shallow Buried Object Detection 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. GPR UAV SFCW radar acquisition methods radarji detekcija true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/journal/remotesensing © 2024 by the authors. Članek v reviji 2024-11-29 13:02:03 2024-12-04 13:34:58 2026-01-15 11:48:57 0000-00-00 00:00:00 2024 0 0 25 no. 21 Vol. 16 2024 0000-00-00 Zaloznikova Objavljeno apc 2024-08-19 2024-10-20 2024-10-22 621.39 2072-4292 217656067 10.3390/rs16213931 2072-4292 remotesensing-16-03931-v2.pdf remotesensing-16-03931-v2.pdf 1 F9ECA8453BD1A78FBCEEA030BF23F162 1e883ff3241891bbfdd8f204fd99885b988ddb12c510741c28fdfaf31a6ba610 e1c9b813-ae49-11ef-8753-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187028 https://www.mdpi.com/2072-4292/16/21/3931/pdf 1 c160f683-ae49-11ef-8753-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187027 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0