The Earthquake Damage Remote Sensing Automatic Recgnition Based on Texture of Roof Tiles

Abstract:

To meet the technical demands of rapid assessment on small and medium earthquake damages, this paper presents the comprehensive disaster evaluation method of on-spot human-computer interaction survey and remote sensing image analysis based on the GIS technology support in the small and medium earthquakes. By making full use of the advantages of existing data, emphasizing on the automatical identification of the unique texture features of small earthquakes with a combination analysis on high resolution images gained from unmanned aerial vehicles (uav) and the seismic damages, the new method results in the rank distribution of earthquakes by gaining the experienced parameter of local small-medium earthquakes based on the analysis of regional characteristics of texture features of remote sensing images. It is concluded that the evaluation method is more accurate and efficient for small and medium earthquake rapid disaster assessment.

• Periodical: Applied Mechanics and Materials (Volumes 651-653)
• Pages: 1315-1319
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.651-653.1315
• Online since: September 2014
• Authors: Dong Ping Li*, Jun Gong, Jing Yi Li, Shan Shan Guo
• Keywords: Blind Assessment, Medium Earthquake, Small Earthquake, UAV

References

[1] JI Ling-yun, XU al. 2009. Application of satellite thermal infrared remote sensing in monitoring Changbaishan Tianchi volcano activity [J]. Seismology and Geology, 31(4) : 617—627.

DOI: 10.1007/s11434-010-3232-2

[2] Gu Juan. 2007. Detection Method For Extraction And Classification Of Object Oriented Residential Changes[C]. Geographic information system Chinese Association Congress. 1305-1321.

[3] CHEN Wen-kai, HE Shao-lin. 2010. Study on Rapid evaluation Method of Earthquake Damage Based on Multi-Source Data. [J]. Northwestern Seismological Journal, 32(1): 76-81.