Airborne EM Technology
Tracks
3rd Airborne, Drone & Robotic
| Monday, September 19, 2022 |
| 14:00 - 15:20 |
| Room D |
Speaker
Dr Muhammad Rizwan Asif
Aarhus University
Investigating the integration of neural networks in least-squares method for airborne electromagnetic data inversion
Dr Muhammad Rizwan Asif
Aarhus University
Deep convolutional auto-encoder for automated processing of airborne time-domain electromagnetic data
Dr Vikas Chand Baranwal
Researcher
Geological Survey of Norway (NGU)
Mapping of quick clay using frequency-domain helicopter EM (HEM) in Orkdal valley, Norway
Dr Andrea Viezzoli
Director
Emergo srl
UNEXPECTED EFFECTS OF IP DISTORSION IN AEM SURVEY FOR HYDROGEOLOGY
