Anand Vetrivel

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

Anand Vetrivel, M. Gerke, Norman Kerle et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2017 · 334 citations · Full text

Computing, Computer Science, Computer Vision +16

Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images

Anand Vetrivel, M. Gerke, Norman Kerle et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2015 · 166 citations · Full text

Engineering, Earth Sciences, Geoinformatics +11

Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach

Anand Vetrivel, M. Gerke, Norman Kerle et al. · Remote Sensing · 2016 · 55 citations · Full text

Computing, Geoinformatics, Computer Vision +16

Towards automated satellite image segmentation and classification for assessing disaster damage using data-specific features with incremental learning

Anand Vetrivel, Norman Kerle, M. Gerke et al. · 2016 · 32 citations · Full text

Computing, Computer Science, Geoinformatics +16

SEGMENTATION OF UAV-BASED IMAGES INCORPORATING 3D POINT CLOUD INFORMATION

Anand Vetrivel, M. Gerke, Norman Kerle et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2015 · 28 citations · Full text

Computing, Civil Engineering, Building Structures +8