Abstract
Rapidly and accurately obtaining collapsed buildings information of the earthquake-stricken areas can help to effectively guide the implementation of the emergency rescue and can reduce disaster losses and casualties. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR data. In this paper, the methods of polarization orientation angle (POA) compensation and Wishart supervised classification are employed to extract the collapsed buildings and undamaged buildings. In addition, the two parameters of the normalized difference of the dihedral component (NDDC) and the HH-HV Correlation Coefficient (ρ HHHV ) are proposed to improve the extraction accuracy of the collapsed buildings and undamaged buildings. The building damage assessment is carried out at the city block scale according to the building collapse rate.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
