prof.dr. N. Kerle (Norman)

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)

Tilon, S. M. (2023). A Routine and Post-disaster Road Corridor Monitoring Framework for the Increased Resilience of Road Infrastructures. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036557115

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. Article 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), Article 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. Article 2977. Advance online publication. 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. Advance online publication. 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

Bekijk alle publicaties van deze medewerker

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.