8 citations · 8 across the 3 of their papers we have counts for
3 papers
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments
Iraklis Giannakis, Craig Warren, Antonios Giannopoulos +5
Ground-penetrating radar (GPR) is a mature geophysical method that has gained increasing popularity in planetary science over the past decade. GPR has been utilised both for Lunar…
Machine Learning Based Forward Solver: An Automatic Framework in gprMax
Utsav Akhaury, Iraklis Giannakis, Craig Warren +1
General full-wave electromagnetic solvers, such as those utilizing the finite-difference time-domain (FDTD) method, are computationally demanding for simulating practical GPR probl…
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMax
Sylwia Majchrowska, Iraklis Giannakis, Craig Warren +1
There is a need to accurately simulate materials with complex electromagnetic properties when modelling Ground Penetrating Radar (GPR), as many objects encountered with GPR contain…