摘要
随着移动通信、无人机、计算机网络等技术的快速发展,野外数据采集PAD、无人机遥感、云计算等新技术、新方法在地质灾害调查中被广泛应用。然而,在实际应用过程中也出现一些新的问题,如大数据传输与存储效率低,高精度海量遥感影像流程化处理过程繁琐,三维模型生成及可视化效果不佳等。针对上述问题,本文基于云数据库、云服务器等大数据存储及处理技术构建地质灾害无人机调查数据管理云平台,开发适用于大疆系列微型无人机的航线控制系统,实现无人机高分遥感海量数据全流程化一键式处理,快速生成地质灾害体高精度遥感影像及三维模型,并通过云服务器自动发布并提供在线可视化服务,本文研究成果极大地提高了地质灾害调查工作的效率和精度。
With the rapid development of mobile communication,unmanned aerial vehicles(UAV),computer networks and other information technologies,new methods,such as field data acquisition PAD,UAV remote sensing and cloud computing are widely used in geological hazard investigation.However,there are some new problems encountered in the practical application,such as inefficiency of massive data transmission and storage,cumbersome processing for high-precision remote sensing image,ineffective generation and display of three-dimensional model.In view of the above problems,this paper elaborates construction of cloud platform,which is based on massive data storage and processing technology,such as cloud database and cloud server,for geological hazards’data from UAV survey.A route control system for Dajiang micro-UAV was also developed.The platform enable key processing of massive high-resolution RS data and rapid generation of high-resolution RS image,as well as 3D model.Online visualization service is provided by the cloud automatically-publishing server.This platform greatly improves the efficiency and precision of the geological hazard investigation work.
作者
马娟
张鸣之
韩冰
黄喆
石爱军
薛跃明
MA Juan;ZHANG Mingzhi;HAN Bing;HUANG Zhe;SHI Aijun;XUE Yueming(China Institute for Geo-Environment Monitoring,Beijing 100081,China)
出处
《中国地质灾害与防治学报》
CSCD
2019年第1期100-105,共6页
The Chinese Journal of Geological Hazard and Control
基金
中国地质调查局地质调查项目:全国地质灾害信息系统建设与服务(DD20160273)