海量影像云管理的探索与研究  

EXPLORATION AND RESEARCH OF THE MASSIVE IMAGE DATA MANAGEMENT BASED ON CLOUD

作　　者：陈韬[1,2] 侯恩兵[1,2] 马伟英[1] 

机构地区：[1]安徽省基础测绘信息中心,安徽合肥230031 [2]安徽省智慧城市与地理国情监测重点实验室,安徽合肥230031

出　　处：《安徽地质》2017年第1期53-56,共4页Geology of Anhui

基　　金：安徽省国土资源科技项目"基于hadoop搭建云GIS平台的探索与研究"(2015-K-16)

摘　　要：目前影像存储与管理方式存在着诸多的不足,传统的文件系统对影像进行存储和管理的效率较低,难以适应海量影像数据存储管理的需求。同时传统方式的数据共享效率低,基本靠存储介质共享传递数据,共享过程中会带来额外的存储开销。而云计算技术的出现和发展克服了传统文件系统的不足,所以本文研究搭建基于开源云计算平台Hadoop的分布式集群,研究海量的遥感影像数据的存储和管理方式;并在此基础上开发了一套海量影像云管理系统,进一步提高海量影像数据存储性能与管理效率,推动影像数据在各行业的分发应用。At present, there are many shortcomings in image storage and management mode. The traditional file system has low efficiency in storage and management of massive image, Also it does not adapt to the demand of massive image data storage management. At the same time, the traditional way has low efficiency of data sharing, rely on storage media for data exchange basically, and the process of sharing will bring some extra cost. The emergence of cloud computing technology overcomes these shortcomings. So this paper has build a distributed cluster based on hadoop, studied the storage and management of massive image data. In addition, developed a cloud management system of massive image data. Finally, the work of this paper has improved the efficiency of massive image management, and promoted the application and distribution of image data in some other industries.

关 键 词：HADOOP 海量影像 云计算 

分 类 号：P208[天文地球—地图制图学与地理信息工程]