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

A. Vetrivel (Corresponding Author), M. Gerke, N. Kerle, F.C. Nex, G. Vosselman

Research output: Contribution to journalArticleAcademicpeer-review

139 Citations (Scopus)
2 Downloads (Pure)

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Engineering & Materials Science

Physics & Astronomy

Earth & Environmental Sciences