This 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.
EAGLE MSc Defense: “Detecting Snow Phases and Runoff Using Sentinel-1 SAR and Multispectral–Optical Data”
On December 09, 2025, Daria Ushakova will present her Master Thesis on " Detecting Snow Phases and Runoff Using Sentinel-1 SAR and Multispectral–Optical Data " at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Snow is a crucial component of the...
