| Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks H Li, P Ghamisi, U Soergel, XX Zhu Remote Sensing 10 (10), 1649, 2018 | 48 | 2018 |
| So2Sat LCZ42: A benchmark dataset for global local climate zones classification XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Häberle, Y Hua, ... arXiv preprint arXiv:1912.12171, 2019 | 44 | 2019 |
| So2Sat LCZ42: A benchmark data set for the classification of global local climate zones [Software and Data Sets] XX Zhu, J Hu, C Qiu, Y Shi, J Kang, L Mou, H Bagheri, M Haberle, Y Hua, ... IEEE Geoscience and Remote Sensing Magazine 8 (3), 76-89, 2020 | 37 | 2020 |
| Mapping human settlements with higher accuracy and less volunteer efforts by combining crowdsourcing and deep learning B Herfort, H Li, S Fendrich, S Lautenbach, A Zipf Remote Sensing 11 (15), 1799, 2019 | 35 | 2019 |
| Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique H Li, B Herfort, W Huang, M Zia, A Zipf ISPRS Journal of Photogrammetry and Remote Sensing 166, 41-51, 2020 | 16 | 2020 |
| Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks H Li, B Herfort, A Zipf The 22nd AGILE Conference on Geo-information Science. Cyprus University of …, 2019 | 9 | 2019 |
| Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning H Li, J Zech, C Ludwig, S Fendrich, A Shapiro, M Schultz, A Zipf International Journal of Applied Earth Observation and Geoinformation 104 …, 2021 | 8 | 2021 |
| A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks H Li, G Pedram, ZW Behnood Rasti, A Shapiro, AZ Michael Schultz Remote Sensing 12 (12), 2067, 2020 | 8 | 2020 |
| From Historical OpenStreetMap data to customized training samples for geospatial machine learning Z Wu, H Li, A Zipf Proceedings of the Academic Track at the State of the Map 2020 Online Conference, 2020 | 7 | 2020 |
| Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection H Li, J Zech, D Hong, P Ghamisi, M Schultz, A Zipf International Journal of Applied Earth Observation and Geoinformation 110, 2022 | 3 | 2022 |
| Improving OpenStreetMap missing building detection using few‐shot transfer learning in sub‐Saharan Africa H Li, B Herfort, S Lautenbach, J Chen, A Zipf Transactions in GIS, 2022 | 2 | 2022 |
| Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks J Pisla, H Li, S Lautenbach, B Herfort, A Zipf AGILE 2021, 2021 | 2 | 2021 |
| Remote Sensing and Deep Learning for Sustainable Mining P Ghamisi, H Li, R Jackisch, B Rasti, R Gloaguen IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 2 | 2020 |
| Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning X Hu, A Noskov, H Fan, T Novack, H Li, F Gu, J Shang, A Zipf International Journal of Geographical Information Science 35 (9), 1773-1801, 2021 | 1 | 2021 |
| Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing H Li, Z Yuan, T Novack, W Huang, A Zipf Computers, Environment and Urban Systems 96, 101848, 2022 | | 2022 |
| Location reference recognition from texts: A survey and comparison X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan, F Klan arXiv preprint arXiv:2207.01683, 2022 | | 2022 |
| A CONCEPTUAL MODEL FOR CONVERTING OPENSTREETMAP CONTRIBUTION TO GEOSPATIAL MACHINE LEARNING TRAINING DATA H Li, A Zipf The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2022 | | 2022 |
| Composite Kernels for Multisensor Image Cassification H Li Institut für Photogrammetrie (ifp), University of Stuttgart (https://www.ifp …, 2018 | | 2018 |
| Playlist" State of the Map 2020" From Historical OpenStreetMap data to customized training samples for geospatial machine learning H Li, Z Wu | | |
Alexander ZipfHeidelberg University, Chair of GIScience, HeiGIT Heidelberg Institute for Geoinformation TechnologyVerified email at uni-heidelberg.de
