BDD-Net: an end-to-end multiscale residual CNN for earthquake-induced building damage detection

• Main Authors: Seydi, Seyd Teymoor, Rastiveis, Heidar, Kalantar, Bahareh, Abdul Halin, Alfian, Ueda, Naonori
• Format: Article
• Published: MDPI 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/100516/; https://www.mdpi.com/2072-4292/14/9/2214
• Institution: Universiti Putra Malaysia

Building damage maps can be generated from either optical or Light Detection and Ranging (Lidar) datasets. In the wake of a disaster such as an earthquake, a timely and detailed map is a critical reference for disaster teams in order to plan and perform rescue and evacuation missions. Recent studies...