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prof.dr.ir. C. Persello (Claudio)

Associate Professor

Expertise

Earth & Environmental Sciences
Detection
Imagery
Informal Settlement
Learning
Engineering & Materials Science
Convolutional Neural Networks
Deep Learning
Remote Sensing
Unmanned Aerial Vehicles (Uav)

Publications

Recent
Nex, F., Armenakis, C., Cramer, M., Cucci, D. A., Gerke, M., Honkavaara, E., Kukko, A. , Persello, C., & Skaloud, J. (2022). UAV in the advent of the twenties: Where we stand and what is next. ISPRS journal of photogrammetry and remote sensing, 184, 215-242. https://doi.org/10.1016/j.isprsjprs.2021.12.006
Kuffer, M., Grippa, T. , Persello, C., Taubenböck, H. , Pfeffer, K. , & Sliuzas, R. (2022). Mapping the morphology of urban deprivation. In X. Yang (Ed.), Urban Remote Sensing: Monitoring, Synthesis, and Modeling in the Urban Environment (pp. 305-323). Wiley. https://doi.org/10.1002/9781119625865.ch14
Schmitt, M. , Persello, C., Vivone, G., Lunga, D., Liao, W., Yokoya, N., Ghamisi, P., & Hansch, R. (2021). The new working groups of the GRSS technical committee on image analysis and data fusion [Technical Committees]. IEEE geoscience and remote sensing magazine, 9(3), 165-166. https://doi.org/10.1109/MGRS.2021.3100654
Merodio Gómez, P., Juarez Carrillo, O. J. , Kuffer, M. , Thomson, D. R., Olarte Quiroz, J. L., Villaseñor García, E., Vanhuysse, S., Abascal, Á. , Oluoch, I. , Nagenborg, M. , Persello, C., & Brito, P. L. (2021). Earth observations and statistics: Unlocking sociodemographic knowledge through the power of satellite images. Sustainability (Switzerland), 13(22), 1-21. [12640]. https://doi.org/10.3390/su132212640
Kuffer, M. , Thomson, D. R., Maki, A., Vanhuysse, S., Georganos, S. , Sliuzas, R. , & Persello, C. (2021). EO-based low-cost frameworks to address global urban data gaps on deprivation and multiple hazards. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 2106-2109). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554094
Sun, X. , Zhao, W. , Maretto, R. V. , & Persello, C. (2021). Building outline extraction from aerial imagery and digital surface model with a frame field learning framework. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, & I. Toschi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B2-2021 ed., Vol. 43, pp. 487-493). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-487-2021
Zhao, W. , Persello, C. , & Stein, A. (2020). Building instance segmentation and boundary regularization from high-resolution remote sensing images. 3916-3919. Paper presented at 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, United States. https://doi.org/10.1109/IGARSS39084.2020.9324239
Persello, C. , & Kuffer, M. (2020). Towards Uncovering Socio-Economic Inequalities Using VHR Satellite Images and Deep Learning. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 3747-3750). [9324399] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS39084.2020.9324399
Bergado, J. R. (2020). End-to-end predictive models for remote sensing applications. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036550963
Zhao, W., Ivanov, I. , Persello, C. , & Stein, A. (2020). Building outline delineation: From very high resolution remote sensing imagery to polygons with an improved end-to-end learning framework. In N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, & T. Fuse (Eds.), Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (B2 ed., Vol. 43, pp. 731-735). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-731-2020
Musci, M. A. , Persello, C., & Lingua, A. M. (2020). UAV images and deep-learning algorithms for detecting flavescence doree disease in grapevine orchards. In N. Paparoditis, C. Mallet, F. Lafarge, J. Jiang, A. Shaker, H. Zhang, X. Liang, B. Osmanoglu, U. Soergel, E. Honkavaara, M. Scaioni, J. Zhang, A. Peled, L. Wu, R. Li, M. Yoshimura, K. Di, O. Altan, H. M. Abdulmuttalib, & F. S. Faruque (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B3 ed., Vol. 43, pp. 1483-1489). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1483-2020
Bergado, J. R. , Persello, C. , & Stein, A. (2020). Land use classification using deep multitask networks. In N. Paparoditis, C. Mallet, F. Lafarge, J. Jiang, A. Shaker, H. Zhang, X. Liang, B. Osmanoglu, U. Soergel, E. Honkavaara, M. Scaioni, J. Zhang, A. Peled, L. Wu, R. Li, M. Yoshimura, K. Di, O. Altan, H. M. Abdulmuttalib, & F. S. Faruque (Eds.), Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci (B3 ed., Vol. 43, pp. 17-21). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-17-2020
Mc'okeyo, P. O. , Nex, F. , Persello, C. , & Vrieling, A. (2020). Automated Co-Registration of Intra-Epoch and Inter-Epoch Series of Multispectral Uav Images for Crop Monitoring. In N. Paparoditis, C. Mallet, F. Lafarge, S. Hinz, R. Feitosa, M. Weinmann, & B. Jutzi (Eds.), ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci (1 ed., Vol. 5, pp. 309-316). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020

UT Research Information System

Courses Academic Year  2021/2022

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2020/2021

Contact Details

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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