prof.dr. N. Kerle (Norman)

Landslide

Damage

Learning

Analysis

Remote Sensing

Image Classification

Detection

Disaster

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Systems Analysis (ESA)

Arabameri, A., Pradhan, B., Pourghasemi, H. R., Rezaei, K., & Kerle, N. (2018). Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms. Applied Sciences (Switzerland), 8(8), [1369]. DOI: 10.3390/app8081369

Duarte, D., Nex, F. C., Kerle, N., & Vosselman, G. (2018). Satellite Image Classification Of Building Damages Using Airborne And Satellite Image Samples In A Deep Learning Approach. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020” (2 ed., Vol. IV, pp. 89-96). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-annals-IV-2-89-2018

Cusicanqui, J., Kerle, N., & Nex, F. C. (2018). Usability of aerial video footage for 3-D scene reconstruction and structural damage assessment. Natural hazards and earth system sciences, 18, 1583-1598. DOI: 10.5194/nhess-18-1583-2018

Vetrivel, A., Gerke, M., Kerle, N., Nex, F. C., & Vosselman, G. (2018). Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning. ISPRS journal of photogrammetry and remote sensing, (140), 45-59. [WOS:000433015900005]. DOI: 10.1016/j.isprsjprs.2017.03.001

Duarte, D., Nex, F. C., Kerle, N., & Vosselman, G. (2017). Towards a more efficient detection of earthquake induced façade damages using oblique UAV imagery. In C. Stachniss, W. Förstner, & J. Schneider (Eds.), Proceedings of International Conference on Unmanned Aerial Vehicles in Geomatics, 4-7 September 2017, Bonn, Germany (pp. 93-100). (ISPRS Archives; Vol. XLII-2/W6). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-2-W6-93-2017

Mooney, P., Olteanu-Raimond, A., Touya, G., Juul, N., Alvanides, S., & Kerle, N. (2017). Considerations of Privacy, Ethics and Legal Issues in Volunteered Geographic Information. In G. Foody, L. See, S. Fritz, P. Mooney, A-M. Olteanu-Raimond, & C. C. Fonte (Eds.), Mapping and the Citizen Sensor (pp. 119-135). London: Ubiquity Press. DOI: 10.5334/bbf.f

Kerle, N., Gerke, M., & Lefevre, S. (Eds.) (2016). GEOBIA 2016 : solutions and synergies : open access e-book. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC).

See, L., Mooney, P., Foody, G., Bastin, L., Comber, A., Estima, J., ... Rutzinger, M. (2016). Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information. ISPRS international journal of geo-information, 5(5), [55]. DOI: 10.3390/ijgi5050055

Pourghasemi, H. R., & Kerle, N. (2016). Random forests and evidential belief function - based landslide susceptibility assessment in Western Mazandaran Province, Iran. Environmental earth sciences, 75(3), -. [185]. DOI: 10.1007/s12665-015-4950-1

Vetrivel, A., Gerke, M., Kerle, N., & Vosselman, G. (2016). Identification of structurally damaged areas in airborne oblique images using a visual-bag-of-words approach. Remote sensing, 8(3), [231]. DOI: 10.3390/rs8030231

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+31534874476

+31534874426 (if no answer)

n.kerle@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 4-056
Hengelosestraat 99
7514AE Enschede
The Netherlands

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