Aarhus Universitets segl

Robust and automatic TEM processing using machine learning

The project is about automating TEM data processing workflows using machine learning and satellite imagery.

   

By leveraging multi-modal data fusion techniques to integrate optical imagery, infrared, SAR, and thermal data obtained from the satellites, we aim to provide complementary perspectives for the detection of conductive infrastructures on the surface or buried in the ground.


Partners

  • Seequent

Principal Investigator from ECE, AU:

Co-Principal Investigator (Co-PI)


About the project:

Grant source:
Innovationsfonden, Industrial PhD

Granted amount:
DKK 1.072.000 (ECE share: DKK 360.000)

Project start:
15/10/2025