Published September 16, 2019 | Version v1
Conference paper Open

Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling

  • 1. Data Intensive Physical Analytics, TJ Watson Research Center, IBM Research, Yorktown Heights, NY, United States

Description

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 

DOI: 10.5281/zenodo.3387715

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14. Towards Scalable Geospatial Remote Sensing for Efficient OSM Labeling.pdf