Buried object characterization by data-driven surrogates and regression-enabled hyperbolic signature extraction

Buried object characterization by data-driven surrogates and regression-enabled hyperbolic signature extraction

Abstract 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 geophysic...

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Bibliographic Details
Main Authors:	Reyhan Yurt, Hamid Torpi, Ahmet Kizilay, Slawomir Koziel, Anna Pietrenko-Dabrowska, Peyman Mahouti
Format:	Article
Language:	English
Published:	Nature Portfolio 2023-04-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-023-32925-6

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