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Presentation
Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling
State of the Map 2019 (2019)
  • Rui Zhang, Data Intensive Physical Analytics, TJ Watson Research Center, IBM Researc
  • Marcus Freitag, Data Intensive Physical Analytics, TJ Watson Research Center, IBM Researc
  • Conrad Albrecht, Data Intensive Physical Analytics, TJ Watson Research Center, IBM Researc
  • Wei Zhang, Data Intensive Physical Analytics, TJ Watson Research Center, IBM Researc
  • Siyuan Lu, Data Intensive Physical Analytics, TJ Watson Research Center, IBM Researc
Disciplines
Publication Date
September 21, 2019
Location
Heidelberg, Germany
DOI
10.5281/zenodo.3387715
Citation Information
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
Creative Commons License
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.