University of Twente Proceedings
A deep learning approach for urban land cover classification from high-spatial resolution imagery and geomorphometric variables
Lizarazo, I. and Ramirez, S. (2016) A deep learning approach for urban land cover classification from high-spatial resolution imagery and geomorphometric variables. In: GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC) .
|
PDF
7MB |
| Event: | GEOBIA 2016 : Solutions and Synergies., 14 September 2016 - 16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC) |
| Item Type: | Conference or Workshop Item (Paper) |
| Link to this item: | https://doi.org/10.3990/2.368 |
| Conference URL: | https://www.geobia2016.com/ |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page