Review of data storage and management technologies for massive remote sensing data

被引：0
|
作者：
XueFeng Lü
ChengQi Cheng
JianYa Gong
Li Guan
机构：
[1] Peking University,Institute of Remote Sensing and GIS
[2] Wuhan University,State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing
[3] Beijing Institute of Surveying and Mapping,undefined
来源：
Science China Technological Sciences | 2011年 / 54卷
关键词：
remote data storage; data management; storage architecture; data organization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Aiming at the storage and management problems of massive remote sensing data, this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abroad. They mainly include the NASA EOS, World Wind, Google Earth, Google Maps, Bing Maps, Microsoft TerraServer, ESA, Earth Simulator, GeoEye, Map World, China Centre for Resources Satellite Data and Application, National Satellite Meteorological Centre, and National Satellite Ocean Application Service. By summing up the practical data storage and management technologies in terms of remote sensing data storage organization and storage architecture, it will be helpful to seek more suitable techniques and methods for massive remote sensing data storage and management.
引用
收藏
页码：3220 / 3232
页数：12
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