3923040
doi
10.5281/zenodo.3923040
oai:zenodo.org:3923040
user-sotm-2020
Li, Hao
GIScience Research Group, Heidelberg University
Zipf, Alexander
GIScience Research Group, Heidelberg University
From Historical OpenStreetMap data to customized training samples for geospatial machine learning
Wu, Zhaoyan
GIScience Research Group, Heidelberg University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Wu, Z, Li, H., Zipf, A. (2020). From Historical OpenStreetMap data to customized training samples for geospatial machine learning</p>
<p>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 <a href="https://zenodo.org/communities/sotm-2020">https://zenodo.org/communities/sotm-2020</a></p>
Zenodo
2020-07-04
info:eu-repo/semantics/conferencePaper
3923039
user-sotm-2020
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md5:5f6c41becb56909d6fc2ef6de6a6d593
https://zenodo.org/records/3923040/files/4. From Historical OpenStreetMap data to customized training samples for geospatial machine learning.pdf
public
10.5281/zenodo.3923039
isVersionOf
doi