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C.M. Gevaert (Caroline)

PhD Candidate / PhD Student

Expertise

Unmanned Aerial Vehicles (Uav)
Imagery
Learning
Precision Agriculture
Landsat
Semantics
Glacier
Labels
Cordillera
Informal Settlement
Agriculture
Satellite Imagery
Reflectance
Rwanda
Training
Labeling
Learning

Publications

Recent Articles
Gevaert, C. M., Persello, C., Vosselman, G., & Sliuzas, R. V. (2017). Automatic Building Extraction from UAV data : poster. Poster session presented at Esri Eastern Africa User Conference, 4-6 October 2017, Dar es Salaam, Tanzania, Dar Es Salaam, Tanzania, United Republic of.
Gevaert, C. M., Persello, C., Oude Elberink, S. J., Vosselman, G., & Sliuzas, R. V. (2017). An automated technique for basemap updating using UAV data. In Proceedings of Joint urban remote sensing event (JURSE) 2017, 6-8 March 2017, Dubai, United Arab Emirates (pp. 1-4). Dubai.
Sliuzas, R. V., Kuffer, M., Pfeffer, K., Gevaert, C. M., & Persello, C. (2017). Slum mapping : from space to unmanned aerial vehicle based approaches. In Proceedings of Joint urban remote sensing event (JURSE) 2017, 6-8 March 2017, Dubai, United Arab Emirates (pp. 1-4). Dubai. DOI: 10.1109/JURSE.2017.7924589
Bergado, J. R., Persello, C., & Gevaert, C. (2016). A deep learning approach to the classification of sub-decimetre resolution aerial images. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 1516-1519). IEEE. DOI: 10.1109/IGARSS.2016.7729387

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-012
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  2-012
P.O. Box 217
7500 AE Enschede
The Netherlands