Expertise
Method
Vehicle
Unmanned Aerial Vehicles (Uav)
Labels
Learning
Imagery
Moderate Resolution Imaging Spectroradiometer
Project
Drones
Learning
Imagery
Deep Learning
Education
Data Fusion
Digital Terrain Model
Modis
Landsat
Reflectance
Reflectance
Landsat
Comparison
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)Publications
Recent
Rizaldi, A., Persello, C., Gevaert, C. M., & Oude Elberink, S. J. (2018). Fully Convolutional Networks for Ground Classification from LiDAR Point Clouds. In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (pp. 231-238). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. IV-2). Riva Del Garda: International Society for Photogrammetry and Remote Sensing (ISPRS).
Gevaert, C. M., Sliuzas, R. V., Persello, C., & Vosselman, G. (2018). Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects. ISPRS international journal of geo-information, 7(3), 91. DOI: 10.3390/ijgi7030091
Gevaert, C., Persello, C., Nex, F., & Vosselman, G. (2018). A deep learning approach to DTM extraction from imagery using rule-based training labels. ISPRS journal of photogrammetry and remote sensing, 142, 106-123. DOI: 10.1016/j.isprsjprs.2018.06.001
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.
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., Elberink, S. O., Vosselman, G., & Sliuzas, R. (2017). Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data. IEEE Journal of selected topics in applied earth observations and remote sensing, 1-11. DOI: 10.1109/JSTARS.2017.2762905
Gevaert, C. M., Persello, C., Sliuzas, R. V., & Vosselman, G. (2017). Informal settlement classification using point-cloud and image-based features from UAV data. ISPRS journal of photogrammetry and remote sensing, 125, 225-236. DOI: 10.1016/j.isprsjprs.2017.01.017
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.
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
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