Expertise
Disasters
Airborne Sensing
Image Classification
Damage
Neural Networks
Image Segmentation
Unmanned Aerial Vehicles (Uav)
Damage Detection
Antennas
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)Publications
Recent
Vetrivel, A., Gerke, M., Kerle, N., Nex, F. C., & Vosselman, G. (2017). 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, -. DOI: 10.1016/j.isprsjprs.2017.03.001
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
Vetrivel, A., Kerle, N., Gerke, M., Nex, F. C., & Vosselman, G. (2016). Towards automated satellite image segmentation and classification for assessing disaster damage using data-specific features with incremental learning. In N. Kerle, M. Gerke, & S. Lefevre (Eds.), Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands (pp. 1-5). Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). DOI: 10.3990/2.369
Vetrivel, A., Duarte, D., Nex, F. C., Gerke, M., Kerle, N., & Vosselman, G. (2016). Potential of multi-temporal oblique airborne imagery for structural damage assessment. In L. Halounova, & . [et al] (Eds.), Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-3, 2016 (Vol. III-3, pp. 355-362). (ISPRS Annals of Photogrammaetry and Remote Sensing; Vol. XLI-B1, No. III-3). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-annals-III-3-355-2016
Vetrivel, A., Gerke, M., Kerle, N., & Vosselman, G. (2015). Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images. ISPRS journal of photogrammetry and remote sensing, 105, 61-78. DOI: 10.1016/j.isprsjprs.2015.03.016
Vetrivel, A., Gerke, M., Kerle, N., & Vosselman, G. (2015). Segmentation of UAV - based images incorporating 3D point cloud information. In U. Stilla, & C. Heipke (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science: PIA15+HRIGI15: Joint ISPRS conference, 25-27 March, 2015, Munich, Germany (Vol. II-3/W4, pp. 261-268). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprsarchives-XL-3-W2-261-2015
UT Research Information System
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(building no. 75)
Hengelosestraat 99
7514AE Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
P.O. Box 217
7500 AE Enschede
The Netherlands