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C.M. Gevaert (Caroline)

PhD Candidate

Expertise

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

Publications

Recent
Gevaert, C. M., Persello, C., Nex, F. C., & Vosselman, G. (2017). A Deep Learning Approach to DTM Extraction from Imagery Using Rule-Based Training Labels : powerpoint.. 1s-25s. Annual Symposium of the Netherlands Centre for Geodesy and Geo-Informatics (NCG) 2017, Delft, Netherlands.
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
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, 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). Piscataway: IEEE.
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
Gevaert, C. M., Persello, C., Sliuzas, R. V., & Vosselman, G. (2016). Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Piscataway: IEEE, 2016 (pp. 1508-1511). (IGARSS; No. 2016). Piscataway: IEEE. DOI: 10.1109/IGARSS.2016.7729385

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