Expertise

  • Earth and Planetary Sciences

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

    • Convolutional Network
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Publications

Jump to: 2025 | 2024

2025

LDPoly: Latent diffusion for polygonal road outline extraction in large-scale topographic mapping (2025)ISPRS journal of photogrammetry and remote sensing, 230, 820-842. Jiao, W., Cheng, H., Vosselman, G. & Persello, C.https://doi.org/10.1016/j.isprsjprs.2025.10.005Mapping Deprived Urban Areas with an Optimized Loss-weight Feature-guided Deep Learning Model (2025)In 2025 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4) (Proceedings Joint Urban Remote Sensing Event (JURSE); Vol. 2025). IEEE. Filho, P. S., Tareke, B., Persello, C., Maretto, R. V., Machado, R., Kuffer, M., Abascal, A. & Wang, J.https://doi.org/10.1109/JURSE60372.2025.11075980RoIPoly: Vectorized building outline extraction using vertex and logit embeddings (2025)ISPRS journal of photogrammetry and remote sensing, 224, 317-328. Jiao, W., Cheng, H., Vosselman, G. & Persello, C.https://doi.org/10.1016/j.isprsjprs.2025.03.030Innovative data solutions for inclusive cities: The IDEAtlas User Portal (2025)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 44th EARSeL Symposium (pp. 237-243) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Tareke, B., Silva Filho, P., Persello, C., Kuffer, M., Maretto, R. V., Wang, J., Abascal, A., Pillai, P., Singh, B., D'Attoli, J. M., Kabaria, C., Pedrassoli, J., Brito, P., Elias, P., Villaseñor, E. A., Ramírez Santiago, A., Mulyana, W., Pratomo, J., Leska, R., … Thomson, D. R.https://doi.org/10.5194/isprs-archives-XLVIII-M-7-2025-237-2025Ground resolved distance estimation of Sentinel-2 imagery using edge-based scene-driven approach (2025)PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 93(2), 131-152. Javan, F. D., Samadzadegan, F., Toosi, A., Schneider, M. & Persello, C.https://doi.org/10.1007/s41064-024-00330-xData underlying the PhD thesis of Wen Zhou: Deep Learning Methods for Multiple Building Use and Urban Livability Evaluation from Multimodal Geospatial Data (2025)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Zhou, W., Stein, A. & Persello, C.https://doi.org/10.17026/PT/VFTW9XDeep Merge: Deep-Learning-Based Region Merging for Remote Sensing Image Segmentation (2025)IEEE transactions on geoscience and remote sensing, 63. Article 5614120. Lv, X., Persello, C., Li, W., Huang, X., Ming, D. & Stein, A.https://doi.org/10.1109/TGRS.2025.3544549Deep learning methods for multiple building use and urban livability: Evaluation from multimodal geospatial data (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhou, W.https://doi.org/10.3990/1.9789036564861Toward 3D hedonic price model for vertically developed cities using street view images and machine learning methods (2025)Habitat International, 156. Article 103288. Ying, Y., Dai, S., Koeva, M., Kuffer, M., Persello, C., Zhou, W. & Zevenbergen, J.https://doi.org/10.1016/j.habitatint.2025.103288Globally scalable glacier mapping by deep learning matches expert delineation accuracy (2025)Nature communications, 16(1). Article 43. Maslov, K. A., Persello, C., Schellenberger, T. & Stein, A.https://doi.org/10.1038/s41467-024-54956-xResponsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good (2025)IEEE geoscience and remote sensing magazine, 13(3), 72-96. 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/10.1109/MGRS.2025.3529726

2024

Mapping the Brazilian savanna’s natural vegetation: A SAR-optical uncertainty-aware deep learning approach (2024)ISPRS journal of photogrammetry and remote sensing, 218(Part A), 405-421. Filho, P. S., Persello, C., Maretto, R. & Machado, R.https://doi.org/10.1016/j.isprsjprs.2024.09.019PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction (2024)ISPRS journal of photogrammetry and remote sensing, 218, 33-43. Jiao, W., Persello, C. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2024.10.006Uncontrolled illegal mining and Garimpo in the Brazilian Amazon (2024)Nature communications, 15(1). Article 9847. Cortinhas Ferreira Neto, L., Diniz, C. G., Maretto, R. V., Persello, C., Silva Pinheiro, M. L., Castro, M. C., Sadeck, L. W. R., Filho, A. F., Cansado, J., Souza, A. A. d. A., Feitosa, J. P., Santos, D. C., Adami, M., Souza-Filho, P. W. M., Stein, A., Biehl, A. & Klautau, A.https://doi.org/10.1038/s41467-024-54220-2CadastreVision: A benchmark dataset for cadastral boundary delineation from multi-resolution earth observation images (2024)ISPRS journal of photogrammetry and remote sensing, 217, 91-100. Grift, J., Persello, C. & Koeva, M. N.https://doi.org/10.1016/j.isprsjprs.2024.08.005RSPS-SAM: A remote sensing image panoptic segmentation method based on SAM (2024)Remote sensing, 16(21). Article 4002. Liu, Z., Li, Z., Liang, Y., Persello, C., Sun, B., He, G. & Ma, L.https://doi.org/10.3390/rs16214002Recent advances in machine learning for remote sensing toward the sustainable development goals (2024)IEEE geoscience and remote sensing letters, 21. Article 0500104. Verma, U., Lunga, D., Hänsch, R., Persello, C. & Ullo, S. L.https://doi.org/10.1109/LGRS.2024.3454939Special section guest editorial: Advanced spectral analysis techniques and remote sensing applications (2024)Journal of applied remote sensing, 18(4). Article 042601. Liu, S., Bovolo, F., Persello, C., Hong, D. & Samat, A.https://doi.org/10.1117/1.JRS.18.042601Building extraction from very high resolution remote sensing image with few data (2024)IEEE geoscience and remote sensing letters, 21. Article 5510305. Cui, Z., Nie, P. & Persello, C.https://doi.org/10.1109/LGRS.2024.3458432Glacier mapping from Sentinel-1 SAR time series with deep learning in Svalbard (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 14-17) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Maslov, K. A., Schellenberger, T., Persello, C. & Stein, A.https://doi.org/10.1109/IGARSS53475.2024.10640676

Research profiles

Courses academic year 2025/2026

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 2024/2025

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