Research on the Detection Method of Building Seismic Damage Change

• Main Authors: Yan, Zhao, Huazhong, Ren, Danyang, Geng
• Format: Conference Proceeding
• Language: English
• Subjects: accurate extraction; Building earthquake damage; Buildings; Data mining; Earthquakes; emergency rescue; Feature extraction; Image segmentation; Information retrieval; object-oriented classification; Remote sensing
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS39084.2020.9323872

Earthquake is a very serious geological disaster. At present, the pre-earthquake prediction is not very accurate and effective in the world, but the quick, accurate and comprehensive understanding of the earthquake situation after the earthquake, and the arrangement of the implementation of rescue work, as far as possible to reduce the loss of recovery, has become the focus of the work of earthquake prevention and mitigation. The application of remote sensing technology in earthquake disaster monitoring and emergency rescue can greatly avoid the time-consuming and laborious shortcomings of the traditional ground survey method. Optical remote sensing has always been the mainstream means in the field of remote sensing. Collapsed buildings pose a direct threat to human life, so it is an urgent task to quickly extract the collapse of buildings in the earthquake. The object-oriented detection method of building damage change is to classify the pre-earthquake and post-earthquake images by object-oriented method, and then compare and analyze them on the basis of object to determine the change area. It can extract high-resolution buildings effectively and accurately. In the post-earthquake emergency rescue, the extraction of building damage information can quickly understand the traffic situation of each disaster area, and more effectively carry out targeted rescue operations.