A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms

• Published in: Scientific data Vol. 12; no. 1; pp. 221 - 9
• Main Authors: Roncoroni, G., Koyan, P., Forte, E., Tronicke, J., Pipan, M.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 06.02.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1046; 704/2151/2809; Algorithms; Antennas; Archaeology; Arrays; Data Descriptor; Datasets; Geometry; Humanities and Social Sciences; Moisture content; multidisciplinary; Science; Science (multidisciplinary); Tomography
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-024-04300-1

We present a 2D multi-offset, multi-frequency synthetic GPR data set specifically designed to evaluate and test processing, analysis and inversion techniques. The data set replicates realistic subsurface conditions at four sections separated by 2 m. We modeled four multi-offset GPR profiles at 50, 100 and 200 MHz frequencies using realistic wavelets. The data set provides a robust framework for validating advanced GPR algorithms and techniques such as pre-stack depth migration, amplitude versus offset analysis and full waveform inversion. Extensive technical validation ensures data reproducibility and affordability. The standardized, realistic synthetic data set can be used as a reliable benchmark for developing and testing new algorithms and methods, thereby advancing the understanding of subsurface imaging and real-world data interpretation.