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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Integrating R and Whitebox Tools for Geospatial Analysis

Integrating R and Whitebox Tools for Geospatial Analysis

Within the EAGLE M.Sc. program our Earth Observation students have managed to understand some important research approaches within just the first term of their studies. Integrating and working with several environments simultaneously is a critical tasks for their...