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

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, 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

Koeva, M. N., Bennett, R. M. , & Persello, C. (2022). Remote sensing for land administration 2.0. Remote sensing, 14(17), [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. [3605]. https://doi.org/10.3390/rs14153605

Zhao, W. , Persello, C. , & Stein, A. (2022). Extracting planar roof structures from very high resolution images using graph neural networks. ISPRS journal of photogrammetry and remote sensing, 187, 34-45. https://doi.org/10.1016/j.isprsjprs.2022.02.022

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

Mullissa, A. G. , Persello, C., & Reiche, J. (2022). Despeckling polarimetric SAR data using a multistream complex-valued fully convolutional network. IEEE geoscience and remote sensing letters, 19, 1-5. https://doi.org/10.1109/LGRS.2021.3066311

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

Sun, X. , Zhao, W. , V. Maretto, R. , & Persello, C. (2021). Building polygon extraction from aerial images and digital surface models with a frame field learning framework. Remote sensing, 13(22), 1-21. [4700]. https://doi.org/10.3390/rs13224700

Schmitt, M. , Persello, C., Vivone, G., Lunga, D., Liao, W., Yokoya, N., Ghamisi, P., & Hansch, R. (2021). The new working groups of the GRSS technical committee on image analysis and data fusion [Technical Committees]. IEEE geoscience and remote sensing magazine, 9(3), 165-166. https://doi.org/10.1109/MGRS.2021.3100654

Merodio Gómez, P., Juarez Carrillo, O. J. , Kuffer, M. , Thomson, D. R., Olarte Quiroz, J. L., Villaseñor García, E., Vanhuysse, S. , Abascal, A., Oluoch, I. , Nagenborg, M. , Persello, C., & Brito, P. L. (2021). Earth observations and statistics: Unlocking sociodemographic knowledge through the power of satellite images. Sustainability (Switzerland), 13(22), 1-21. [12640]. https://doi.org/10.3390/su132212640

Kuffer, M. , Thomson, D. R., Maki, A., Vanhuysse, S., Georganos, S. , Sliuzas, R. , & Persello, C. (2021). EO-based low-cost frameworks to address global urban data gaps on deprivation and multiple hazards. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 2106-2109). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554094

Sun, X. , Zhao, W. , Maretto, R. V. , & Persello, C. (2021). Building outline extraction from aerial imagery and digital surface model with a frame field learning framework. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, & I. Toschi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B2-2021 ed., Vol. 43, pp. 487-493). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-487-2021

Bergado, J. R. , Persello, C., Reinke, K. , & Stein, A. (2021). Predicting wildfire burns from big geodata using deep learning. Safety science, 140, [105276]. https://doi.org/10.1016/j.ssci.2021.105276

Zhao, W. , Persello, C. , & Stein, A. (2021). Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework. ISPRS journal of photogrammetry and remote sensing, 175, 119-131. https://doi.org/10.1016/j.isprsjprs.2021.02.014

Kuffer, M. , Pfeffer, K. , & Persello, C. (2021). Special issue “remote-sensing-based urban planning indicators”. Remote sensing, 13(7), 1-6. [1264]. https://doi.org/10.3390/rs13071264, https://doi.org/10.3390/rs13071264