文章摘要

文章信息/Info

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

作者:: 付萧¹; 郭加伟¹; 刘秀菊²; 鲁恒³; 4; 杨正丽³; 4; 项霞³; 4; (1.西南交通大学地球科学与环境工程学院,四川成都 611756; 2.成都市规划信息技术中心,四川成都 610042; 3.四川大学水力学与山区河流开发保护国家重点实验室,四川成都 610065; 4.四川大学水利水电学院,四川成都 610065)

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

摘要:: 选取四川“4·20”芦山地震震区发生的地震滑坡为研究对象,首先构建区域地质特色的无人机影像地震滑坡样本库; 然后引入迁移学习机制完成了无人机高分辨率遥感影像地震滑坡信息提取。研究结果表明地震滑坡提取总体精度达87.2%,能满足地震滑破灾害环境宏观调查,滑坡灾害体监测等应急需求。

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.