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dr. C. Persello (Claudio)

Assistant Professor

Expertise

Learning
Unmanned Aerial Vehicles (Uav)
Remote Sensing
Remote Sensing
Accuracy Assessment
Informal Settlement
Image Resolution
Image Resolution
Imagery

Publications

Recent
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
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., 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
Persello, C., & Bruzzone, L. (2016). Kernel-based domain-invariant feature selection in hyperspectral images for transfer learning. IEEE transactions on geoscience and remote sensing, 54(5), 2615-2626. DOI: 10.1109/TGRS.2015.2503885
Tuia, D., Persello, C., & Bruzzone, L. (2016). Domain adaptation for the classification of remote sensing data : an overview of recent advances. IEEE geoscience and remote sensing magazine, 4(2), 41-57. DOI: 10.1109/MGRS.2016.2548504
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

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Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-001
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  2-001
P.O. Box 217
7500 AE Enschede
The Netherlands

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