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
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, 2-5. Advance online publication. 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

Pure Link

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

Overige contactinformatie