Expertise
Engineering & Materials Science
# Damage Detection
# Disasters
# Landslides
# Remote Sensing
Earth & Environmental Sciences
# Damage
# Detection
# Disaster
# Landslide
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)Publications
Recent
Zhang, N.
, Nex, F. C.
, Vosselman, G.
, & Kerle, N. (2023).
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation. In
CVPR 2023 (pp. 18537-18546)
https://openaccess.thecvf.com/content/CVPR2023/html/Zhang_Lite-Mono_A_Lightweight_CNN_and_Transformer_Architecture_for_Self-Supervised_Monocular_CVPR_2023_paper.html
Sedhain, S., van den Homberg, M., Teklesadik, A.
, van Aalst, M. K.
, & Kerle, N. (2023).
Evaluating the explainability and performance of an elementary versus a statistical impact-based forecasting model. Abstract from EGU General Assembly 2023, Vienna, Austria.
https://doi.org/10.5194/egusphere-egu23-11434
Karam, S.
, Nex, F., Chidura, B. T.
, & Kerle, N. (2022).
Microdrone-Based Indoor Mapping with Graph SLAM.
Drones,
6(11), 1-26. [352].
https://doi.org/10.3390/drones6110352
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
Karam, S.
, Nex, F. C., Karlsson, O., Rydell, J., Bilock, E., Tulldahl, M.
, Kerle, N., & Holmberg, M. (2022).
Micro and macro quadcopter drones for indoor mapping to support disaster management. In S. Hinz, R. Q. Feitosa, M. Weinmann, & B. Jutzi (Eds.),
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. Volume V-1-2022, pp. 203-210). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus.
https://doi.org/10.5194/isprs-annals-v-1-2022-203-2022
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
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
Zhang, N.
, Nex, F. C.
, Kerle, N.
, & Vosselman, G. (2021).
Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features. 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. XLIII-B2-2021, pp. 427-432). International Society for Photogrammetry and Remote Sensing (ISPRS).
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021
Ghaffarian, S.
, Roy, D.
, Filatova, T.
, & Kerle, N. (2021).
Agent-based modelling of post-disaster recovery with remote sensing data.
International journal of disaster risk reduction,
60, 1-15. [102285].
https://doi.org/10.1016/j.ijdrr.2021.102285
UT Research Information System
Courses Academic Year 2022/2023
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 2021/2022
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(building no. 19), room 1418
Hallenweg 8
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1418
P.O. Box 217
7500 AE Enschede
The Netherlands