[3K1-OS-18a] [Organized Session] OS-18

[3K1-OS-18a-03] Damage evaluation of building via convolutional neural network

〇Takenori Hida¹, Taro Yaoyama¹, Tsuyoshi Takada¹ (1. The University of Tokyo)

Keywords:Convolutional neural network, Damage evaluation, Natural disaster

In order to carry out prompt restoration activities after the occurrence of a natural disaster such as an earthquake, it is important to grasp the buildings’ damage situation and damage distribution of the affected area as soon as possible. In this study, the buildings’ damage is evaluated from the image data of building by using Convolutional Neural Network. Furthermore, to grasp the geographical distribution of the damage, a results of the damage evaluated by CNN are plotted on a map.