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:

Welcome, new EAGLEs!

Welcome, new EAGLEs!

The newest group of EAGLE students arrived in Würzburg! They come from different countries, with different backgrounds and different skills, and that’s exactly what makes this program special. Remote sensing is a big field, and it gets better when people look at it...

[Spotlight] Lecturer Spotlight: Julian Faeth

[Spotlight] Lecturer Spotlight: Julian Faeth

Dr. Julian Fäth is a postdoctoral researcher at our EORC. His teaching combines remote sensing, forest ecology and geospatial data science with a strong focus on operational applications and climate adaptation. Since 2018, Julian has been actively involved in...