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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course on Theory and Practice of UAS Operation and Methods

course on Theory and Practice of UAS Operation and Methods

Last week our staff members Antonio Gomez Castaneda and Luisa Pflumm did an UAS course within out EAGLE M.Sc. program. The primary objective of this course is to prepare students — from having no prior experience — to safely operate drones for scientific applications....