A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms
Abstract 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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04300-1 |
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| _version_ | 1825197576991801344 |
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| author | G. Roncoroni P. Koyan E. Forte J. Tronicke M. Pipan |
| author_facet | G. Roncoroni P. Koyan E. Forte J. Tronicke M. Pipan |
| author_sort | G. Roncoroni |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-270ace18533c42c287dfe5410001cabe |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-270ace18533c42c287dfe5410001cabe2025-02-09T12:11:38ZengNature PortfolioScientific Data2052-44632025-02-011211910.1038/s41597-024-04300-1A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithmsG. Roncoroni0P. Koyan1E. Forte2J. Tronicke3M. Pipan4University of Trieste, Department of Mathematics, Informatics and GeosciencesUniversity of Potsdam, Institute of GeosciencesUniversity of Trieste, Department of Mathematics, Informatics and GeosciencesUniversity of Potsdam, Institute of GeosciencesUniversity of Trieste, Department of Mathematics, Informatics and GeosciencesAbstract 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.https://doi.org/10.1038/s41597-024-04300-1 |
| spellingShingle | G. Roncoroni P. Koyan E. Forte J. Tronicke M. Pipan A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms Scientific Data |
| title | A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms |
| title_full | A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms |
| title_fullStr | A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms |
| title_full_unstemmed | A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms |
| title_short | A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms |
| title_sort | realistic 2d multi offset multi frequency synthetic gpr data set as a benchmark for testing new algorithms |
| url | https://doi.org/10.1038/s41597-024-04300-1 |
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