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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[spotlight] Lecturer Spotlight: Martin Wegmann

[spotlight] Lecturer Spotlight: Martin Wegmann

by | Jul 10, 2026 |

If you've ever sat in a Würzburg classroom learning how to wrangle satellite data, there's a good chance Martin Wegmann was the one standing at the front. He's been the driving force behind the EAGLE MSc program, the Applied Earth Observation degree at the University...

EAGLE Internship Presentation: Svalbard

EAGLE Internship Presentation: Svalbard

by | Jul 6, 2026 |

On July 07, 2026, Aoibhin Murphy and Marlene Sehrbrock will present her internship results on " Svalbard" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Using thermal and RGB imagery collected via UAVs, we investigated the potential of thermal...