![](https://d3ilqtpdwi981i.cloudfront.net/mZ4IlgFMI8yy8jQe8et1mkkOskI=/425x550/smart/https://bepress-attached-resources.s3.amazonaws.com/uploads/02/ac/12/02ac1270-43ec-4d10-a9e8-a1ae464bb5be/thumbnail_46017663-7e63-4f86-b404-eadcfb9e7ca3.jpg)
Presentation
Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling
State of the Map 2019
(2019)
Disciplines
Publication Date
September 21, 2019
Location
Heidelberg, Germany
DOI
10.5281/zenodo.3387715
Citation Information
Zhang et al. (2019). Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling
In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 27-28. Heidelberg, Germany, September 21-23, 2019. Available at https://zenodo.org/communities/sotm-2019
Creative Commons License
![Creative Commons License](https://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons CC_BY International License.