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

Adjunct Professor

Expertise

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

Publications

Recent
Debray, H. , Kuffer, M., Klaufus, C. , Persello, C., Wurm, M., Taubenböck, H. , & Pfeffer, K. (2024). Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional Networks. In M. Kuffer, & S. Georganos (Eds.), Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 167-188). ( Remote Sensing and Digital Image Processing; Vol. 26). https://doi.org/10.1007/978-3-031-49183-2_9
Hansch, R. , Persello, C., Vivone, G., Chen, K., Yan, Z., Tang, D., Huang, H., Schmitt, M., & Sun, X. (2023). Report on the 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]. IEEE geoscience and remote sensing magazine, 11(4), 146-149. https://doi.org/10.1109/MGRS.2023.3302342
Zhao, W. , Persello, C., Lv, X. , & Stein, A. (2023). Vectorizing Planar Roof Structure From Very High Resolution Remote Sensing Images Using Transformers. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 4899-4902). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282198
Filho, P. S. , Persello, C. , Maretto, R. V., & MacHado, R. (2023). Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1365-1368). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282190
Maslov, K. A. , Persello, C., Schellenberger, T. , & Stein, A. (2023). GLAVITU: A Hybrid CNN-Transformer for Multi-Regional Glacier Mapping from Multi-Source Data. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1233-1236). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. https://doi.org/10.1109/IGARSS52108.2023.10281828
Tareke, B. , Koeva, M. , & Persello, C. (2023). Extracting Polygons of Visible Cadastral Boundaries Using Deep Learning. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 915-918). Article 10282644 IEEE. https://doi.org/10.1109/IGARSS52108.2023.10282644
Kumar, V., Venkatachalaperumal, S. R. , & Persello, C. (2023). Synergistic fusion of spaceborne polarimetric SAR and hyperspectral data for land cover classification. In S. Kumar, P. Siqueira, H. Govil, & S. Agrawal (Eds.), Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 169-210). CRC Press/Balkema. https://doi.org/10.1201/9781003204466-8
Persello, C., Hansch, R., Vivone, G., Chen, K., Yan, Z., Tang, D., Huang, H., Schmitt, M., & Sun, X. (2023). 2023 IEEE GRSS data fusion contest: Large-scale fine-grained building classification for semantic urban reconstruction [technical committees]. IEEE geoscience and remote sensing magazine, 11(1), 94-97. https://doi.org/10.1109/MGRS.2023.3240233
Zhou, W. , Persello, C. , & Stein, A. (2023). Building usage classification using a transformer-based multimodal deep learning method. In 2023 Joint Urban Remote Sensing Event, JURSE 2023 (2023 Joint Urban Remote Sensing Event, JURSE 2023). IEEE. https://doi.org/10.1109/JURSE57346.2023.10144168
Hansch, R. , Persello, C., Vivone, G., Castillo Navarro, J., Boulch, A., Lefevre, S., & Le Saux, B. (2022). Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised learning. IEEE geoscience and remote sensing magazine, 10(4), 270-273. https://doi.org/10.1109/MGRS.2022.3219935
Zhao, W. (2022). Extracting geometric features of buildings from remote sensing images. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036554978

UT Research Information System

Courses Academic Year  2023/2024

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  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1324
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1324
P.O. Box 217
7500 AE Enschede
The Netherlands

Additional Contact Information