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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Successful MSc Defense by Anna Bischof

Successful MSc Defense by Anna Bischof

We congratulate Anna Bischof on the successful defense of her MSc thesis, "Feasibility of Unoccupied Aerial System-Based Active Fire Monitoring in African Savannas." Anna's research addressed one of the key challenges in fire ecology and remote sensing: understanding...

Successful MSc Defense by Laura Obrecht

Successful MSc Defense by Laura Obrecht

At the recent EAGLE MSc defenses, Laura Obrecht presented her thesis on the detection of grassland mowing events using Sentinel-1 InSAR coherence and deep learning approaches. Her work, titled “Detektion von Grünlandmahd mit Sentinel-1 InSAR Coherence und einem Deep...