Published July 4, 2020
| Version v1
Conference paper
Open
From Historical OpenStreetMap data to customized training samples for geospatial machine learning
Description
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
Files
4. From Historical OpenStreetMap data to customized training samples for geospatial machine learning.pdf
Files
(65.2 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:5f6c41becb56909d6fc2ef6de6a6d593
|
65.2 kB | Preview Download |