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...

Full description

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/

Internet

https://ieeexplore.ieee.org/document/10038643/

Similar Items