Embedded Intelligence

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1. 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-Modal Remote Sensing data for Optimal Sub-field Crop Yield Prediction

   In: Remote Sensing of Environment (RSE), Vol. 318, Pages 0-20, Elsevier, 3/2025.

2. 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 (IGARSS-2023), WE4.R8: Agricultural Yield Estimation and Prediction I, July 16-21, Pasadena, California, USA, IEEE, 10/2023.

3. 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 (IGARSS-2023), TU3.R3: Spatio-temporal Data Harmonization I, July 16-21, Pasadena, California, USA, IEEE, 10/2023.

4. 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 (IGARSS-2023), July 16-21, Pasadena, CA, USA, IEEE, 10/2023.

5. 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 (IGARSS-2023), July 16-21, Pasadena, California, USA, Pages 5014-5017, IEEE Xplore, 10/2023.

6. 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.

7. 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, AAAI, 2019.

8. 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.

9. 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.

10. 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 2, Yokohama, Japan, IEEE, 2019.

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