Abstract:To identify deformation and damage to buildings after an earthquake, a remote sensing image recognition and analysis method for deformation detection of earthquake-damaged buildings is proposed. Remote sensing images of earthquake disaster areas were collected by UAV, and the problem of building structure deformation detection was transformed into a problem of coordinate measurement between components. Sample vector points in the collected remote sensing images were extracted and divided into different kinds of regions. On this basis, the images were clustered and segmented to obtain the characteristics of different types of building structures in post-earthquake images, thus identifying the earthquake disaster situation of different sample vector points. Through the experimental analysis, it was found that the proposed image recognition and analysis method can identify the damaged buildings to a certain extent, although further research is needed to improve recognition accuracy.