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Dr. rer. nat. Marlon Nuske

Organizational unit Smart Data & Knowledge Services
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Publications

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications

Francisco Mena; Diego Arenas; Marlon Nuske; Andreas Dengel

In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 0, Pages 1-21, IEEE GRSS, IEEE, 2/2024.

To the publication

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction

Francisco Mena; Deepak Kumar Pathak; Hiba Najjar; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Miro Miranda Lorenz; Jayanth Siddamsetty; Marlon Nuske; Marcela Charfuelan Oliva; Diego Arenas; Michaela Vollmer; Andreas Dengel

project research, Arxiv, 1/2024.

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Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications

Francisco Mena; Diego Arenas; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel

In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2024. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2024), July 7-12, Athens, Greece, IEEE GRSS, IEEE, 2024.

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All publications

Profile

  • Rwanda_Weather_events

    Rwanda Extreme Weather Events

    In close collaboration with the Rwanda Space Agency, we develop machine learning tools to understand and monitor extreme weather events. We specifically focus on the use of remote sensing data for…

  • ML4Sim

    Machine Learning for Simulation Intelligence in Composite Process Design

    Fiber-reinforced polymers are composite materials made of fibers and a surrounding matrix. Due to their outstanding lightweight potential, they are applied in numerous areas of everyday life, from…

  • AI4DTE

    Artificial Intelligence (AI) Enhanced Earth Observation (EO) for on Digital Twin Earth (DTE)

    A digital twin of the earth will allow science and policy users alike to gain insights of our earth system and will help with decision support. We analyze the potential of artificial intelligence…

  • AI4EO Solution Factory

    Artificial Intelligence for Earth Observation Solution Factory

    Within the AI4EO Solution Factory we combine our AI expertise with EO data to develop customized state-of-the-art solutions for business cases as diverse as agriculture, urban planning disaster…

    AI4EO Solution Factory

  • ML4SCA

    Machine Learning for Satellite Collision Avoidance

    With an increasing number of satellites and debris objects in earth orbit it becomes increasingly important to automate and improve procedures for collision avoidance. We develop machine learning…