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