| EuroSAT: A novel dataset and deep learning benchmark for land use and land cover classification P Helber, B Bischke, A Dengel, D Borth IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 | 1726 | 2019 |
| Multi-task learning for segmentation of building footprints with deep neural networks B Bischke, P Helber, J Folz, D Borth, A Dengel IEEE International Conference on Image Processing (ICIP) 2019, 1480-1484, 2019 | 309 | 2019 |
| Introducing EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification P Helber, B Bischke, A Dengel, D Borth IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018 …, 2018 | 219 | 2018 |
| The Multimedia Satellite Task at MediaEval 2017. B Bischke, P Helber, C Schulze, V Srinivasan, A Dengel, D Borth MediaEval, 2017 | 109 | 2017 |
| Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. B Bischke, P Bhardwaj, A Gautam, P Helber, D Borth, A Dengel MediaEval, 2017 | 83 | 2017 |
| Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data B Gram-Hansen, P Helber, I Varatharajan, F Azam, A Coca-Castro, ... Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019 | 61 | 2019 |
| TreeSatAI Benchmark Archive: A multi-sensor, multi-label dataset for tree species classification in remote sensing S Ahlswede, C Schulz, C Gava, P Helber, B Bischke, M Förster, F Arias, ... Earth System Science Data Discussions 2022, 1-22, 2022 | 37 | 2022 |
| The multimedia satellite task at MediaEval 2019 B Bischke, P Helber, S Brugman, E Basar, Z Zhao, M Larson, K Pogorelov Proc. of the MediaEval 2019 Workshop, 2019 | 34 | 2019 |
| Overcoming missing and incomplete modalities with generative adversarial networks for building footprint segmentation B Bischke, P Helber, F Koenig, D Borth, A Dengel International Conference on Content-Based Multimedia Indexing (CBMI) 2018, 1-6, 2018 | 26 | 2018 |
| Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss B Bischke, P Helber, D Borth, A Dengel IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018 …, 2018 | 26 | 2018 |
| The multimedia satellite task at mediaeval 2018: Emergency response for flooding events B Benjamin, H Patrick, Z Zhengyu, B Damian | 15 | 2018 |
| Multi-task learning for segmentation of building footprints with deep neural networks. arXiv 2017 B Bischke, P Helber, J Folz, D Borth, A Dengel arXiv preprint arXiv:1709.05932, 0 | 12 | |
| Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models P Helber, B Bischke, P Habelitz, C Sanchez, D Pathak, M Miranda, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 10 | 2023 |
| Generating Material Maps to Map Informal Settlements P Helber, B Gram-Hansen, I Varatharajan, F Azam, A Coca-Castro, ... Neural Information Processing Systems (NeurIPS) 2018 Machine Learning for …, 2018 | 10 | 2018 |
| Towards a sentinel-2 based human settlement layer P Helber, B Bischke, J Hees, A Dengel IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019 …, 2019 | 9 | 2019 |
| The multimedia satellite task at mediaeval 2019: Estimation of flood severity B Bischke, P Helber, S Brugman, E Basar, Z Zhao, M Larson, K Pogorelov Proc. of the MediaEval 2019 Workshop (Oct. 27-29, 2019). Sophia Antipolis …, 2019 | 8 | 2019 |
| Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data P Helber, B Gram-Hansen, I Varatharajan, F Azam, A Coca-Castro, ... International Conference on Learning Representations (ICLR) 2019 AI for …, 2018 | 7 | 2018 |
| Influence of data cleaning techniques on sub-field yield predictions C Sanchez, D Pathak, M Miranda, M Charfuelan, P Helber, M Nuske, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 6 | 2023 |
| EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification (2017) P Helber, B Bischke, A Dengel, D Borth arXiv preprint arXiv:1709.00029, 0 | 6 | |
| Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level D Pathak, M Miranda, F Mena, C Sanchez, P Helber, B Bischke, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 5 | 2023 |
Benjamin BischkeGerman Research Center for Artificial Intelligence, Vision Impulse, NVIDIA AI LabVerified email at dfki.de
