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.
Learning Earth Observation Data Acquisition in Real-World Conditions
As part of our course on Earth Observation data acquisition, EAGLE students experience first-hand that even the best planning is ultimately shaped by the weather. While flight plans, measurement strategies, and schedules can be carefully prepared in advance, field...
