Image interpretation

While satellites provide global and regular coverage, aircraft as sensor carrier platforms can examine large areas with greater local flexibility. Drones, in turn, provide the highest resolution and greatest agility.

For the military capability domains of reconnaissance and support, the Image Interpretation group acts in an advisory capacity and evaluates the various image interpretation systems depending on the area of application. This includes designing and implementing our own sensor systems, such as our airborne multisensor platform for monitoring land and sea environments. In order to process, fuse and interpret RGB, infrared, thermal, hyperspectral and LiDAR image data in near-real time, we develop our own processing and evaluation algorithms. An important part of this is the use of artificial intelligence, deep learning, and transfer learning.

In addition to the military context, this portfolio can also be applied to civilian and sovereign task fields. For example, remote sensing for monitoring the environment and infrastructure is becoming increasingly important. For this reason, the Image Interpretation group is also involved in hyperspectral remote sensing for the acquisition of pedological data in the field of smart farming and for the detection of oil spills in the field of pipeline monitoring.


Concept development of a long-range UAV with integrated sensors as payload.

COGNAC - Cognitive Agriculture

Usage of hyperspectral drones for the future agriculture.

HS robustification

Data-driven processing of hyperspectral remote sensing data.

HYPOD – Hyperspectral Oil Leak Detection

Monitoring of oil-pipelines using hyperspectral remote sensing.