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Buried object characterization by data-driven surrogates and regression-enabled hyperbolic signature extraction
This work addresses artificial-intelligence-based buried object characterization using FDTD-based electromagnetic simulation toolbox of a Ground Penetrating Radar (GPR) to generate B-scan data. In data collection, FDTD-based simulation tool, gprMax is used. The task is to estimate geophysical parame...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082193/ https://www.ncbi.nlm.nih.gov/pubmed/37029217 http://dx.doi.org/10.1038/s41598-023-32925-6 |