Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and...

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Bibliographic Details
Main Authors:	Reyhan Yurt, Hamid Torpi, Peyman Mahouti, Ahmet Kizilay, Slawomir Koziel
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Buried object characterization ground penetrating radar (GPR) surrogate modeling microwave modeling artificial intelligence A-scan data analysis
Online Access:	https://ieeexplore.ieee.org/document/10038643/

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