Expertises
Earth & Environmental Sciences
# Detection
# Imagery
# Informal Settlement
# Learning
# Remote Sensing
Engineering & Materials Science
# Deep Learning
# Remote Sensing
# Unmanned Aerial Vehicles (Uav)
Verbonden aan
Publicaties
Recent
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
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Vakken Collegejaar 2022/2023
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 2021/2022
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