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[1]FU Xiao,GUO Jiawei,LIU Xiuju,et al.Method of earthquake landslide information extraction based on high resolution unmanned aerial vehicle images[J].Journal of Seismological Research,2018,41(02):186-191.

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Method of earthquake landslide information extraction based on high resolution unmanned aerial vehicle images

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 41 Number of periods: 2018 02 Page number: 186-191 Column: Public date: 2018-04-20

Title:: Method of earthquake landslide information extraction based on high resolution unmanned aerial vehicle images

Author(s):: FU Xiao¹; GUO Jiawei¹; LIU Xiuju²; LU Heng³; 4; YANG Zhengli³; 4; XIANG Xia³; 4; (1. Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,Sichuan, China)(2. Information Technology Center of Chengdu Planning and Management Bureau,Chengdu 610042,Sichuan,China)(3. State Key Laboratory of Hydraulics and Mountain Rive Engineering,Sichuan University,Chengdu 610065,Sichuan,China)(4. College of Hydraulic and Hydroelectric Engineering,Sichuan University,Chengdu 610065,Sichuan,China)

Keywords:: information extraction; deep learning; transfer learning; earthquake landslide; unmanned aerial vehicle images

CLC:: P642.22; TP751

DOI:: -

Abstract:: In this paper,the earthquake landslide in the earthquake zone of 4.20 Lushan earthquake in Sichuan province was selected as the research object. Firstly,the sample library of earthquake landslide based on Unmanned aerial vehicle(UAV)images was established. Then the transfer learning mechanism was introduced to carry out the earthquake landslide information extraction from UAV images. The results show that the overall accuracy of the landslide extraction method is 87.2%,it can meet earthquake emergency needs such as macroscopic investigation of landslide disaster, monitoring of landslide disaster body.

References:: -

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Last Update: 2018-04-23