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

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

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...

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Bibliographic Details
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/

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