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 that convolutional neural network methods have superio