Proceedings of the Academic Track at the State of the Map 2020
Published July 4, 2020 | Version v1
Conference paper Open

From Historical OpenStreetMap data to customized training samples for geospatial machine learning

Creators

  • 1. GIScience Research Group, Heidelberg University

Description

Wu, Z, Li, H., Zipf, A. (2020). From Historical OpenStreetMap data to customized training samples for geospatial machine learning

In: Minghini, M., Coetzee, S., Juhász, L., Yeboah, G., Mooney, P., Grinberger, A.Y. (Eds.). Proceedings of the Academic Track at the State of the Map 2020 Online Conference, July 4-5 2020. Available at https://zenodo.org/communities/sotm-2020

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