14 citations · 22 across the 4 of their papers we have counts for
4 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…
Deep learning universal crater detection using Segment Anything Model (SAM)
Iraklis Giannakis, Anshuman Bhardwaj, Lydia Sam +1
Craters are amongst the most important morphological features in planetary exploration. To that extent, detecting, mapping and counting craters is a mainstream process in planetary…
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…