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.

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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...

semester wrap-up by our latest EAGLE generation

semester wrap-up by our latest EAGLE generation

Our latest generation of EAGLEs just wrote a nice blog post summarizing their first months within the EAGLE program, outlining how they bonded and formed a group plus how they experienced their first earth observation courses within our international M.Sc. program:...