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

Adjunct Professor
ITC-EOS
Langezijds 1324
c.persello@utwente.nl
+31534874343
Business card

Expertise

  • Earth and Planetary Sciences

    • Image
    • Network
    • Datum
    • Classification
    • Learning
    • Remote Sensing

  • Computer Science

    • Convolutional Network
    • Models

Organisations

Publications

2024
Feature-guided deep learning model for mapping deprived areasIn 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024. IEEE. Filho, P. S., Tareke, B., Persello, C., Kuffer, M., Maretto, R., Abascal, A., Wang, J. & MacHado, R.https://doi.org/10.1109/MIGARS61408.2024.10544988Responsible AI for Earth Observation. ArXiv.org (E-pub ahead of print/First online). Ghamisi, P., Yu, W., Marinoni, A., Gevaert, C. M., Persello, C., Selvakumaran, S., Girotto, M., Horton, B. P., Rufin, P., Hostert, P., Pacifici, F. & Atkinson, P. M.https://doi.org/10.48550/arXiv.2405.20868Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional NetworksIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 167-188). Debray, H., Kuffer, M., Klaufus, C., Persello, C., Wurm, M., Taubenböck, H. & Pfeffer, K.https://doi.org/10.1007/978-3-031-49183-2_9Automatic Building Roof Plane Extraction in Urban Environments for 3D City Modelling Using Remote Sensing Data, Article 1386. Campoverde, C., Koeva, M. N., Persello, C., Maslov, K., Jiao, W. & Petrova-Antonova, D.https://doi.org/10.3390/rs16081386Vectorizing planar roof structure from very high resolution remote sensing images using transformers, 1-15. Zhao, W., Persello, C., Lv, X., Stein, A. & Vergauwen, M.https://doi.org/10.1080/17538947.2023.2292637
2023
Report on the 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees], 146-149. Hansch, R., Persello, C., Vivone, G., Chen, K., Yan, Z., Tang, D., Huang, H., Schmitt, M. & Sun, X.https://doi.org/10.1109/MGRS.2023.3302342Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information, Article 113767. Zhou, W., Persello, C., Li, M. & Stein, A.https://doi.org/10.1016/j.rse.2023.113767Extracting Polygons of Visible Cadastral Boundaries Using Deep LearningIn IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Article 10282644 (pp. 915-918). IEEE. Tareke, B., Koeva, M. & Persello, C.https://doi.org/10.1109/IGARSS52108.2023.10282644AI4SmallFarms: A data set for crop field delineation in Southeast Asian smallholder farms, Article 2505705, 1-5. Persello, C., Grift, J., Fan, X., Paris, C., Hänsch, R., Koeva, M. & Nelson, A.https://doi.org/10.1109/LGRS.2023.3323095Roof Structure Extraction from Aerial Images and nDSM using Deep Learning. Kenzhebay, M., Zhao, W., Koeva, M. N. & Persello, C.https://doi.org/10.20944/preprints202309.0762.v1Pruning for image segmentation: Improving computational efficiency for large-scale remote sensing applications, 13-29. Lv, X., Persello, C., Zhao, W., Huang, X., Hu, Z., Ming, D. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2023.05.024Learning general representations for semantic segmentation and height estimation from remote sensing imagesIn 2023 Joint Urban Remote Sensing Event. IEEE. Zhao, W., Persello, C., Ding, H. & Stein, A.https://doi.org/10.1109/JURSE57346.2023.10144138Building usage classification using a transformer-based multimodal deep learning methodIn 2023 Joint Urban Remote Sensing Event, JURSE 2023. IEEE. Zhou, W., Persello, C. & Stein, A.https://doi.org/10.1109/JURSE57346.2023.10144168Cadastral boundary delineation using deep learning and remote sensing imagery: state of the art and future developmentsIn FIG Working Week 2023: Protecting Our World, Conquering New Frontiers. International Federation of Surveyors (FIG). Grift, J., Persello, C. & Koeva, M. N.https://fig.net/fig2023/technical_program.htm2023 IEEE GRSS data fusion contest: Large-scale fine-grained building classification for semantic urban reconstruction [technical committees], 94-97. Persello, C., Hansch, R., Vivone, G., Chen, K., Yan, Z., Tang, D., Huang, H., Schmitt, M. & Sun, X.https://doi.org/10.1109/MGRS.2023.3240233Synergistic fusion of spaceborne polarimetric SAR and hyperspectral data for land cover classificationIn Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 169-210). CRC Press/Balkema. Kumar, V., Venkatachalaperumal, S. R. & Persello, C.https://doi.org/10.1201/9781003204466-8Semantic-aware unsupervised domain adaptation for height estimation from single-view aerial images, 372-385. Zhao, W., Persello, C. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2023.01.003GLAVITU: A Hybrid CNN-Transformer for Multi-Regional Glacier Mapping from Multi-Source DataIn IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1233-1236). IEEE. Maslov, K. A., Persello, C., Schellenberger, T. & Stein, A.https://doi.org/10.1109/IGARSS52108.2023.10281828Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel DataIn IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1365-1368). IEEE. Filho, P. S., Persello, C., Maretto, R. V. & MacHado, R.https://doi.org/10.1109/IGARSS52108.2023.10282190Vectorizing Planar Roof Structure From Very High Resolution Remote Sensing Images Using TransformersIn IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 4899-4902). IEEE. Zhao, W., Persello, C., Lv, X. & Stein, A.https://doi.org/10.1109/IGARSS52108.2023.10282198

Research profiles

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

Address

University of Twente

Langezijds (building no. 19), room 1324
Hallenweg 8
7522 NH Enschede
Netherlands

Navigate to location

Organisations

Scan the QR code or
Download vCard