[1]DU Haoguo,ZHANG Fanghao,LU Yongkun,et al.Recognition of the Earthquake Damage to Buildings in the 2021 Yangbi,Yunnan MS6.4 Earthquake Area Based on Multi-source Remote Sensing Images[J].Journal of Seismological Research,2021,44(03):490-498.
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Recognition of the Earthquake Damage to Buildings in the 2021 Yangbi,Yunnan MS6.4 Earthquake Area Based on Multi-source Remote Sensing Images
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
44
Number of periods:
2021 03
Page number:
490-498
Column:
Public date:
2021-10-20
- Title:
- Recognition of the Earthquake Damage to Buildings in the 2021 Yangbi,Yunnan MS6.4 Earthquake Area Based on Multi-source Remote Sensing Images
- Keywords:
- the Yangbi MS6.4 earthquake; identification of earthquake-damage to buildings; assessment on the disaster losses; digital surface model; high-resolution image
- CLC:
- P315.94
- DOI:
- -
- Abstract:
- Rapid identification of the earthquake damage to buildings in the earthquake-stricken area is of great significance for scientific and effective assessment of losses from earthquake disasters.Based on the high-resolution,remote-sensing images of post-earthquake field investigation obtained by UAV and digital surface model(DSM),we propose an identification method of earthquake damage to buildings based on multi-source,remote-sensing images.In the light of this method,we first do the multi-scale segmentation of the surface feature,then extract buildings' information,and weed out other features.Further,we identify the damage,structures and the floors of the buildings according to the spectrum,texture and shape of the buildings on the images.We apply our method to the identification of the damage to the buildings in the Yangbi MS6.4 earthquake on 21th,May 2021.The results show that,compared with the traditional manual investigation of the damage in the earthquake-affected areas,our method is more effective and more accurate.
- References:
- -
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Last Update:
2021-10-20