prof.dr.ir. M.G. Vosselman (George)

Engineering & Materials Science

# Antennas
# Lasers
# Scanning
# Semantics
# Unmanned Aerial Vehicles (Uav)

Earth & Environmental Sciences

# Detection
# Laser

Physics & Astronomy

# Semantics

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

Elsevier
Editor-in-Chief ISPRS Open Journal of Photogrammetry and Remote Sensing

Wei, Y. , Vosselman, G. , & Yang, M. Y. (2022). Flow-based GAN for 3D point cloud generation from a single image. ArXiv. https://doi.org/10.48550/arXiv.2210.04072

Lin, Y. (2022). Deep learning for semantic segmentation of airborne laser scanning point clouds. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554107

Tilon, S. , Nex, F. , Vosselman, G., Llave, I. S. D. L. , & Kerle, N. (2022). Towards improved unmanned aerial vehicle edge intelligence: a road infrastructure monitoring case study. Remote sensing, 14(16), [4008]. https://doi.org/10.3390/rs14164008

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2022). Training a disaster victim detection network for UAV search and rescue using harmonious composite images. Remote sensing, 14(13), 1-19. [2977]. https://doi.org/10.3390/rs14132977

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2022). Unsupervised harmonious image composition for disaster victim detection. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission III (B3-2022 ed., Vol. 43, pp. 1189–1196). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information ). Copernicus. https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022

Maiti, A. , Oude Elberink, S. J. , & Vosselman, G. (2022). Effect of label noise in semantic segmentation of high resolution aerial images and height data. In A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, & I. Toschi (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission II (2 ed., Vol. 5, pp. 275-282). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-V-2-2022-275-2022

Li, F., Zhou, Z., Xiao, J., Chen, R., Lehtomäki, M. , Oude Elberink, S. J. , Vosselman, G., Hyyppä, J., Chen, Y., & Kukko, A. (2022). Instance-aware semantic segmentation of road furniture in mobile laser scanning data. IEEE transactions on intelligent transportation systems, 23(10), 17516-17529. https://doi.org/10.1109/TITS.2022.3157611

Lin, Y. , Vosselman, G. , & Yang, M. Y. (2022). Weakly supervised semantic segmentation of airborne laser scanning point clouds. ISPRS journal of photogrammetry and remote sensing, 187, 79-100. https://doi.org/10.1016/j.isprsjprs.2022.03.001

Zhang, Z. (2022). Photogrammetric point clouds: quality assessment, filtering, and change detection. [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/10.3990/1.9789036552653

Zhang, N. , Nex, F. C. , Kerle, N. , & Vosselman, G. (2022). LISU: Low-light indoor scene understanding with joint learning of reflectance restoration. ISPRS journal of photogrammetry and remote sensing, 183, 470-481. https://doi.org/10.1016/j.isprsjprs.2021.11.010

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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.