| Sentinel-1 and Sentinel-2 data fusion for urban change detection using a dual stream U-Net S Hafner, A Nascetti, H Azizpour, Y Ban IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 53 | 2021 |
| Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data S Hafner, Y Ban, A Nascetti Remote Sensing of Environment 280, 113192, 2022 | 50 | 2022 |
| Monitoring urbanization and environmental impact in Kigali, Rwanda using Sentinel-2 MSI data and ecosystem service bundles T Mugiraneza, S Hafner, J Haas, Y Ban International Journal of Applied Earth Observation and Geoinformation 109 …, 2022 | 26 | 2022 |
| A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments S Georganos, S Hafner, M Kuffer, C Linard, Y Ban International Journal of Applied Earth Observation and Geoinformation 114 …, 2022 | 21 | 2022 |
| Urban change detection using a dual-task Siamese network and semi-supervised learning S Hafner, Y Ban, A Nascetti IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 21 | 2022 |
| Exploring the fusion of sentinel-1 sar and sentinel-2 msi data for built-up area mapping using deep learning S Hafner, Y Ban, A Nascetti 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4720 …, 2021 | 8 | 2021 |
| Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data S Hafner, Y Ban, A Nascetti Remote Sensing 15 (21), 5135, 2023 | 6 | 2023 |
| Multi-modal deep learning with Sentinel-1 and Sentinel-2 data for urban mapping and change detection S Hafner KTH Royal Institute of Technology, 2022 | 6 | 2022 |
| A novel web-based decision support tool for enhancing urban resilience and sustainability C Kontopoulos, E Magkoufis, A Papadima, D Skoulidou, A Kazantzi, ... Ninth International Conference on Remote Sensing and Geoinformation of the …, 2023 | 3 | 2023 |
| Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval Y Sun, Y Ye, J Kang, R Fernandez-Beltran, Y Ban, S Hafner, X Li, C Luo, ... IEEE Transactions on Geoscience and Remote Sensing, 2024 | 2 | 2024 |
| Multi-Modal Deep Learning for Multi-Temporal Urban Mapping with a Partly Missing Optical Modality S Hafner, Y Ban IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 2 | 2023 |
| Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda S Hafner, S Georganos, T Mugiraneza, Y Ban 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | 2 | 2023 |
| PANGAEA: A global and inclusive benchmark for geospatial foundation models V Marsocci, Y Jia, GL Bellier, D Kerekes, L Zeng, S Hafner, S Gerard, ... arXiv preprint arXiv:2412.04204, 2024 | 1 | 2024 |
| Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping S Hafner, Y Ban, A Nascetti 2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023 | 1 | 2023 |
| Användningen av satellitdata för att utveckla miljöövervakningen i Sverige–En syntes S Hellsten, B Yifang, S Georganos, J Ihrfors, V Kronnäs, S Hafner, P Zang IVL Svenska Miljöinstitutet, 2022 | 1 | 2022 |
| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration S Hafner, H Fang, H Azizpour, Y Ban arXiv preprint arXiv:2406.17458, 2024 | | 2024 |
| Multi-Sensor Remote Sensing for Urban Mapping and Change Detection Using Deep Learning S Hafner KTH Royal Institute of Technology, 2024 | | 2024 |
| DisasterAdaptiveNet: A Robust Network for Multi-Hazard Building Damage Detection from Very-High-Resolution Satellite Imagery S Hafner, S Gerard, J Sullivan, Y Ban | | 2024 |
| EO-AI4GlobalChange: Earth Observation Big Data and Deep Learning for Global Environmental Change Monitoring Y Ban, S Hafner, P Zhang, Y Zhao Abstracts of the ICA 6, 14, 2023 | | 2023 |
| Data Annotation Report S Hafner, Y Ban | | 2023 |
Yifang BanKTH Royal Institute of TechnologyVerified email at kth.se
