Expertise
High Resolution
Learning
Damage Detection
Learning
Disaster
Deep Learning
Damage
Detection
Antennas
Damage
Disasters
Disasters
Neural Networks
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)Publications
Recent
Vetrivel, A. (2018). Automatic information extraction from remote sensing images and 3D point clouds for building damage assessment Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
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, (140), 45-59. [WOS:000433015900005]. 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