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Damage
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Analysis
Remote Sensing
Image Classification
Detection
Disaster
Faculteit Geo-Informatie Wetenschappen en Aardobservatie (ITC), Department of Earth Systems Analysis (ESA)Publicaties
Recent
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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Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC
(gebouwnr. 75), kamer 4-056
Hengelosestraat 99
7514AE Enschede
Postadres
Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC
4-056
Postbus 217
7500 AE Enschede