Seismic urban damage map generation based on satellite images and Gabor convolutional neural networks

Rapid assessment of urban damages after a strong earthquake is a necessary and crucial task to reduce the number of fatalities and recover socioeconomic services. In this paper, a novel deep-learning-based framework is proposed for detecting and mapping damages in urban buildings and roads using pos...

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Bibliographic Details
Main Authors: Heidar Rastiveis, Seyd Teymoor Seydi, ZhiQiang Chen, Jonathan Li
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223002741