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

Earth & Environmental Sciences

# Detection
# Imagery
# Informal Settlement
# Learning
# Remote Sensing

Engineering & Materials Science

# Deep Learning
# Remote Sensing
# Unmanned Aerial Vehicles (Uav)

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Zhao, W. , Persello, C., Lv, X. , Stein, A., & Vergauwen, M. (2024). Vectorizing planar roof structure from very high resolution remote sensing images using transformers. International journal of digital earth, 17(1), 1-15. https://doi.org/10.1080/17538947.2023.2292637

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

Kenzhebay, M. , Zhao, W. , Koeva, M. N. , & Persello, C. (2023). Roof Structure Extraction from Aerial Images and nDSM using Deep Learning. (Preprints.org). https://doi.org/10.20944/preprints202309.0762.v1

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

Persello, C. , Grift, J. , Fan, X. , Paris, C., Hänsch, R. , Koeva, M. , & Nelson, A. (2023). AI4SmallFarms: A data set for crop field delineation in Southeast Asian smallholder farms. IEEE geoscience and remote sensing letters, 20, 1-5. Article 2505705. https://doi.org/10.1109/LGRS.2023.3323095

Zhou, W. , Persello, C., Li, M. , & Stein, A. (2023). Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information. Remote sensing of environment, 297, Article 113767. https://doi.org/10.1016/j.rse.2023.113767

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

Lv, X. , Persello, C. , Zhao, W., Huang, X., Hu, Z., Ming, D. , & Stein, A. (2023). Pruning for image segmentation: Improving computational efficiency for large-scale remote sensing applications. ISPRS journal of photogrammetry and remote sensing, 202, 13-29. https://doi.org/10.1016/j.isprsjprs.2023.05.024

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

Zhao, W. , Persello, C., Ding, H. , & Stein, A. (2023). Learning general representations for semantic segmentation and height estimation from remote sensing images. In 2023 Joint Urban Remote Sensing Event (2023 Joint Urban Remote Sensing Event, JURSE 2023). IEEE. https://doi.org/10.1109/JURSE57346.2023.10144138

Grift, J. , Persello, C. , & Koeva, M. N. (2023). Cadastral boundary delineation using deep learning and remote sensing imagery: state of the art and future developments. In FIG Working Week 2023: Protecting Our World, Conquering New Frontiers International Federation of Surveyors (FIG). https://fig.net/fig2023/technical_program.htm

Zhao, W. , Persello, C. , & Stein, A. (2023). Semantic-aware unsupervised domain adaptation for height estimation from single-view aerial images. ISPRS journal of photogrammetry and remote sensing, 196, 372-385. https://doi.org/10.1016/j.isprsjprs.2023.01.003

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

Koeva, M. N. , Bennett, R. M. , & Persello, C. (2022). Remote sensing for land administration 2.0. Remote sensing, 14(17), Article 4359. https://doi.org/10.3390/rs14174359

Farsad Layegh, N. , Darvishzadeh, R. , Skidmore, A. K. , Persello, C., & Kruger, N. (2022). Integrating semi-supervised learning with an expert system for vegetation cover classification using Sentinel-2 and RapidEye data. Remote sensing, 14(15), 1-18. Article 3605. https://doi.org/10.3390/rs14153605

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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.