MPG ETH CLS Student Projects


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Machine Learning-based Lake Ice Monitoring using UAVs

This thesis will focus on an inter-disciplinary (intersection of artificial intelligence and climate change) research topic. This work is part of the project “Integrated lake ice monitoring and generation of sustainable, reliable, long time series”.

Lake Ice Detection Few-Shot Learning Deep Learning Random Forests Remote Sensing Computer Vision Image Analysis Climate Change Drone Image Processing UAV

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Using machine learning to detect and predict changes of land use from aerial imagery

The ability to understand the evolution of land use (e.g. construction, change of land type) is crucial in fields such as urban planning, agriculture, natural resources management, and even autonomous flight. We will develop a Bayesian Recurrent Neural Network approach.

Bayesian Deep Learning Recurrent Neural Networks Remote Sensing Agriculture Environmental Sciences Computer Vision

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