Project | AI4EO Solution Factory

Duration: 10/11/2021 - 12/31/2027

Artificial Intelligence for Earth Observation Solution Factory

Research Topics

Machine Learning & Deep Learning

Application fields

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 forecasting and greenhouse gas monitoring.

Partners

Vision Impulse

Contact Person

Prof. Dr. Prof. h.c. Andreas Dengel

Andreas.Dengel@dfki.de
Phone: +49 631 20575 1000

Keyfacts

Publications about the project

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.
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.
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.

All publications

Project | AI4EO Solution Factory

Artificial Intelligence for Earth Observation Solution Factory

Research Topics

Application fields

Partners

Contact Person

Keyfacts

Involved research areas

Head

Website

Publications about the project

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

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

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

Sponsors

ESA - European Space Agency

Research Topics

Application fields

Partners

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Contact Person

Keyfacts

Involved research areas

Head

Website

Publications about the project

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

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

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

Sponsors

ESA - European Space Agency