Welkom...

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

Universitair hoofddocent

Expertises

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

Publicaties

Recent
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, 2-5. 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
Hänsch, R. , Persello, C., Vivone, G., Castillo Navarro, J., Boulch, A., Lefevre, S., & Le Saux, B. (2022). The 2022 IEEE GRSS data fusion contest: Semisupervised learning [technical committees]. IEEE geoscience and remote sensing magazine, 10(1), 334-337. https://doi.org/10.1109/MGRS.2022.3144291
Persello, C., Wegner, J. D., Hansch, R., Tuia, D., Ghamisi, P. , Koeva, M., & Camps-Valls, G. (2022). Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities. IEEE geoscience and remote sensing magazine, 10(2), 172-200. https://doi.org/10.1109/MGRS.2021.3136100
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
Zhao, W. , Persello, C. , & Stein, A. (2021). End-to-end roofline extraction from very-high-resolution remote sensing images. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 2783-2786). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554162

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Vakken Collegejaar  2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
 

Vakken Collegejaar  2022/2023

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (gebouwnr. 19), kamer 1324
Hallenweg 8
7522NH  Enschede

Postadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1324
Postbus 217
7500 AE Enschede

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