Expertises
Learning
Method
Vehicle
Remote Sensing
Informal Settlement
Detection
Unmanned Aerial Vehicles (Uav)
Remote Sensing
Labels
Image Resolution
Faculteit Geo-Informatie Wetenschappen en Aardobservatie (ITC), Department of Earth Observation Science (EOS)Publicaties
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).
Bergado, J. R., Persello, C., & Stein, A. (2018). Recurrent Multiresolution Convolutional Networks for VHR Image Classification. IEEE transactions on geoscience and remote sensing, 1-14. DOI: 10.1109/TGRS.2018.2837357
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
Mboga, N., Persello, C., Bergado, J. R., & Stein, A. (2017). Detection of informal settlements from VHR satellite images using convolutional neural networks. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 July 2017, Fort Worth Texas, USA (pp. 5169-5172). Institute of Electrical and Electronics Engineers ( IEEE ). DOI: 10.1109/IGARSS.2017.8128166
Danilla, C., Persello, C., Tolpekin, V., & Bergado, J. R. (2017). Classification of multitemporal SAR images using convolutional neural networks and Markov random fields. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 Jly 2017, Fort Worth Texas, USA (pp. 2231-2234). Institute of Electrical and Electronics Engineers ( IEEE ). DOI: 10.1109/IGARSS.2017.8127432
Samat, A., Persello, C., Gamba, P., Liu, S., Abuduwaili, J., & Li, E. (2017). Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification. Remote sensing, 9(4), [337]. DOI: 10.3390/rs9040337
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.
Kuffer, M., Persello, C., Pfeffer, K., & Sliuzas, R. V. (2017). Slum mapping approaches : mapping the dynamics of slums across the globe : achievements and challenges : powerpoint. s1-s27. Deutscher Kongress für Geographie 2017, Tübingen, Germany.
Persello, C., & Stein, A. (2017). Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images. IEEE geoscience and remote sensing letters, 1-5. DOI: 10.1109/LGRS.2017.2763738
Mboga, N., Persello, C., Bergado, J. R., & Stein, A. (2017). Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks. Remote sensing, 9(11), [1106]. DOI: 10.3390/rs9111106
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
Xu, Z., Persello, C., Li, M., Wu, L., & Wu, P. (2016). Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3070-3073). IEEE. DOI: 10.1109/IGARSS.2016.7729794
Gevaert, C. M., Persello, C., & Vosselman, G. (2016). Optimizing Multiple Kernel Learning for the classification of UAV data. Remote sensing, 8(12), 1-22. [1025]. DOI: 10.3390/rs8121025
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Contactgegevens
Bezoekadres
Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC
(gebouwnr. 75), kamer 2-001
Hengelosestraat 99
7514AE Enschede
Postadres
Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC
2-001
Postbus 217
7500 AE Enschede