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...

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Detalles Bibliográficos
Autores principales: Yurt, Reyhan, Torpi, Hamid, Kizilay, Ahmet, Koziel, Slawomir, Pietrenko-Dabrowska, Anna, Mahouti, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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