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Transfer Learning for Improving Seismic Building Damage Assessment

The rapid assessment of building damage in earthquake-stricken areas is of paramount importance for emergency response. The development of remote sensing technology has aided in deriving reliable and precise building damage assessments of extensive areas following disasters. It is well documented th...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Qigen Lin, Tianyu Ci, Leibin Wang, Sanjit Kumar Mondal, Huaxiang Yin, Ying Wang
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-01-01
Schriftenreihe:Remote Sensing
Schlagworte:
building damage
transfer learning
earthquake
deep learning
convolutional neural networks
Online-Zugang:https://www.mdpi.com/2072-4292/14/1/201
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