| Language | English |
|---|---|
| Number of pages | 4 |
| Publication status | Published - 2018 |
| Event | The ESA Earth Observation Φ-week: EO Open Science and FutureEO - Frascati, Italy Duration: 12 Nov 2018 → 16 Nov 2018 http://phiweek.esa.int/ |
Conference
| Conference | The ESA Earth Observation Φ-week |
|---|---|
| Country | Italy |
| City | Frascati |
| Period | 12/11/18 → 16/11/18 |
| Internet address |
Cite this
Lobry, S., Marcos Gonzalez, D., Vargas Munoz, J., Kellenberger, B. A., Srivastava, S., & Tuia, D. (2018). Deep learning based methods for building segmentation from remote sensing data. Paper presented at The ESA Earth Observation Φ-week, Frascati, Italy.
@conference{9ee5e136e0d446df86b0916171157412,
title = "Deep learning based methods for building segmentation from remote sensing data",
author = "Sylvain Lobry and {Marcos Gonzalez}, D. and {Vargas Munoz}, John and B.A. Kellenberger and S. Srivastava and D. Tuia",
year = "2018",
language = "English",
note = "null ; Conference date: 12-11-2018 Through 16-11-2018",
url = "http://phiweek.esa.int/",
}
Lobry, S, Marcos Gonzalez, D, Vargas Munoz, J, Kellenberger, BA, Srivastava, S & Tuia, D 2018, 'Deep learning based methods for building segmentation from remote sensing data' Paper presented at, Frascati, Italy, 12/11/18 - 16/11/18, .
Deep learning based methods for building segmentation from remote sensing data. / Lobry, Sylvain; Marcos Gonzalez, D.; Vargas Munoz, John; Kellenberger, B.A.; Srivastava, S.; Tuia, D.
2018. Paper presented at The ESA Earth Observation Φ-week, Frascati, Italy.Research output: Contribution to conference › Paper › Academic
TY - CONF
T1 - Deep learning based methods for building segmentation from remote sensing data
AU - Lobry, Sylvain
AU - Marcos Gonzalez, D.
AU - Vargas Munoz, John
AU - Kellenberger, B.A.
AU - Srivastava, S.
AU - Tuia, D.
PY - 2018
Y1 - 2018
M3 - Paper
ER -
Lobry S, Marcos Gonzalez D, Vargas Munoz J, Kellenberger BA, Srivastava S, Tuia D. Deep learning based methods for building segmentation from remote sensing data. 2018. Paper presented at The ESA Earth Observation Φ-week, Frascati, Italy.