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)

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

Mehvar, S. H. , Wijnberg, K. M. , Borsje, B. W. , Kerle, N. , Schraagen, J. M. , Vinke-de Kruijf, J. , Geurs, K. , Hartmann, A. , Hogeboom, R. , & Hulscher, S. J. M. H. (2021). Review article: Towards Resilient Vital Infrastructure Systems: Challenges, Opportunities, and Future Research Agenda. Natural hazards and earth systems sciences discussions, 21(5), 1383-1407. https://doi.org/10.5194/nhess-21-1383-2021

Jhan, J. , Kerle, N., & Rau, J. (2021). Integrating UAV and Ground Panoramic Images for Point Cloud Analysis of Damaged Building. IEEE geoscience and remote sensing letters, 19. https://doi.org/10.1109/LGRS.2020.3048150

Ghaffarian, S. (2020). Post-disaster recovery assessment using remote sensing image analysis and agent-based modeling. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036551106

Tilon, S. , Nex, F. , Kerle, N. , & Vosselman, G. (2020). Post-Disaster Building Damage Detection from Earth Observation Imagery using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks. Remote sensing, 12(24), 1-27. [4193]. https://doi.org/10.3390/rs12244193

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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.