From Historical OpenStreetMap data to customized training samples for geospatial machine learning
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...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
July 4, 2020
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| Ausgabe: | Version v1 |
| In: |
Zenodo
Year: 2020, Pages: 9-10 |
| DOI: | 10.5281/zenodo.3923040 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.5281/zenodo.3923040 Verlag, lizenzpflichtig, Volltext: https://zenodo.org/records/3923040 
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| Verfasserangaben: | Zhaoyan Wu, Hao Li1, and Alexander Zipf |
| Zusammenfassung: | 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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| Beschreibung: | Gesehen am 19.02.2026 Aus: 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 |
| Beschreibung: | Online Resource |
| DOI: | 10.5281/zenodo.3923040 |