Conference paper Open Access

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

Wu, Zhaoyan; Li, Hao; Zipf, Alexander


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3923040", 
  "author": [
    {
      "family": "Wu, Zhaoyan"
    }, 
    {
      "family": "Li, Hao"
    }, 
    {
      "family": "Zipf, Alexander"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        7, 
        4
      ]
    ]
  }, 
  "abstract": "<p>Wu, Z, Li, H., Zipf, A. (2020). From Historical OpenStreetMap data to customized training samples for geospatial machine learning</p>\n\n<p>In: Minghini, M., Coetzee, S., Juh&aacute;sz, 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>", 
  "title": "From Historical OpenStreetMap data to customized training samples for geospatial machine learning", 
  "type": "paper-conference", 
  "id": "3923040"
}
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