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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...

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Tallennettuna:
Päätekijät: Qigen Lin, Tianyu Ci, Leibin Wang, Sanjit Kumar Mondal, Huaxiang Yin, Ying Wang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2022-01-01
Sarja:Remote Sensing
Aiheet:
building damage
transfer learning
earthquake
deep learning
convolutional neural networks
Linkit:https://www.mdpi.com/2072-4292/14/1/201
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