Cloud computing technology is developing rapidly and constantly expanding the application range. For exploring the cloud computing technology in the field of environmental remote sensing application, this paper discusses some key techniques of cloud computing based on virtualization and big data technology, which include architecture design, network topology and service function. 138 images of GF-1 satellite were selected for production experiments for comparing and analyzing the efficiency of cloud service platform and high performance platform in mass remote sensing data processing. Experiments show that the data processing efficiency of high performance cluster platform is about 2.5 times higher than that of cloud service platform under the existing operating environment. In general,compared with cloud service platform, dedicated high performance computing and processing platform has certain advantages in computing, communication and storage. It is more suitable for massive environmental remote sensing data processing and quantitative retrieval with efficiency.
史园莉,孙中平,姜俊,高乾,孙浩,闻瑞红. 环境遥感云服务平台与高性能平台对比分析[J]. 国土资源遥感, 2019, 31(2): 240-245.
Yuanli SHI,Zhongping SUN,Jun JIANG,Qian GAO,Hao SUN,Ruihong WEN. Comparison and analysis of cloud service platform and high performance platform for environmental remote sensing. Remote Sensing for Land & Resources, 2019, 31(2): 240-245.
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