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Hao Li
Hao Li
Technische Universität München, Professor of Big Geospatial Data Management; Heidelberg University
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
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
482018
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
442019
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
372020
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
352019
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
162020
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
92019
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
82021
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
82020
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
72020
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
32022
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
22022
Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks
J Pisla, H Li, S Lautenbach, B Herfort, A Zipf
AGILE 2021, 2021
22021
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
22020
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
12021
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
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Articles 1–19