Conference paper Open Access

Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling

Zhang, Rui; Freitag, Marcus; Albrecht, Conrad; Zhang, Wei; Lu, Siyuan

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 

DOI: 10.5281/zenodo.3387715

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Publication date:
September 16, 2019
DOI:
10.5281/zenodo.3387715

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Keyword(s):
OpenStreetMap GIScience Remote Sensing Big Data Analytics Machine learning
Meeting:
State of the Map 2019 (SotM 2019), Heidelberg, Germany, 21-23 September 2019
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Creative Commons Attribution 4.0 International

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