Deployment of a multi-classifier approach to improve land cover classification accuracy

multi_classifierThis study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed. The student is expected to gain a deep knowledge of applied Machine Learning algorithms within this innovation laboratory.

read more news:

EAGLE workshop on Earth Observation application

EAGLE workshop on Earth Observation application

Our first EAGLE workshop on Earth Observation applications covered various topics. After a heartily welcome by Tobias Ullmann did more than 50 participants listen to the following talks:     Ása Aðalsteinsdóttir: “SAR Monitoring in Iceland”     Katrin Wernicke:...

DGPF award for our EAGLE MSc Luisa Wagner

DGPF award for our EAGLE MSc Luisa Wagner

We are very happy to congratulate our former EAGLE student Luisa Wagner for the 2nd prize of the Karl‐Kraus‐Nachwuchsförderpreis 2024. Luisa received this award for her M.Sc. thesis which she handed in early last year on "Analysis of ice shelf front dynamics in Pine...

High alpine and snow training

High alpine and snow training

In collaboration with the German Alpine Club (DAV), Laura, one of our EAGLE students and Clara, a student assistant at our institute, recently participated in avalanche rescue training aimed at equipping individuals with essential skills and knowledge to respond...