Publications

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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
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction
project research, Arxiv, 1/2024.
Deepak Kumar Pathak; Miro Miranda Lorenz; Francisco Mena; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
PREDICTING CROP YIELD WITH MACHINE LEARNING: AN EXTENSIVE ANALYSIS OF INPUT MODALITIES AND MODELS ON A FIELD AND SUB-FIELD LEVEL
In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium …
Cristhian Sanchez; Deepak Kumar Pathak; Miro Miranda Lorenz; Marcela Charfuelan Oliva; Patrick Helber; Marlon Nuske; Benjamin Bischke; Peter Habelitz; Nafisur Rahman; Francisco Mena; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Andreas Dengel
INFLUENCE OF DATA CLEANING TECHNIQUES ON SUB-FIELD YIELD PREDICTIONS
In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium …
Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Deepak Kumar Pathak; Miro Miranda Lorenz; Hiba Najjar; Francisco Mena; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
Crop Yield Prediction: an Operational Approach to Crop Yield Modeling on Field and Sub-Field Level with Machine Learning Models
In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium …
Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Mena; Miro Miranda Lorenz; Deepak Kumar Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing
In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium …
Fatemeh Azimi; Benjamin Bischke; Sebastian Palacio; Federico Raue; Jörn Hees; Andreas Dengel
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
In: Proceedings of the ICPR 2020, held virtually January 2021. International Conference on Pattern Recognition (ICPR-2020), Elsevier, 2020.
Tim G. J. Rudner; Marc Rußwurm; Jakub Fil; Ramona Pelich; Benjamin Bischke; Veronika Kopackova; Piotr Bilinski
Multi3-Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
In: Proceedings of the Thirty-Third AAAI. AAAI Conference on Artificial Intelligence (AAAI-2019), January 27 - February 1, Honolulu, Hawaii, USA, …
Patrick Helber; Benjamin Bischke; Andreas Dengel; Damian Borth
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019.
Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel
Multi-task learning for segmentation of building footprints with neural networks
In: AI4SocialGood. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, Louisiana, USA, arXiv, 2019.
Benjamin Bischke; Patrick Helber; Jörn Hees; Andreas Dengel
Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a global scale
In: Global-Environment Observation and Disaster Mitigation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2019), July 28 - August …