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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מידע ביבליוגרפי

Principais autores:	Seyd Teymoor Seydi, Heidar Rastiveis, Bahareh Kalantar, Alfian Abdul Halin, Naonori Ueda
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2022-05-01
סדרה:	Remote Sensing
נושאים:	high resolution satellite imagery earthquake Lidar convolutional neural network (CNN) building damage map
גישה מקוונת:	https://www.mdpi.com/2072-4292/14/9/2214
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