Hadoop下海量遥感数据的处理

Processing of remote sensing data by Hadoop

随着我国空间技术科学的发展,遥感数据正以指数级增长,由于遥感数据的地理信息特征,海量遥感数据的存储和处理成了近年的研究热点,本文采用在商业上取得出色成绩的hadoop云计算平台来对海量遥感数据进行并行化处理,完成了系统并行性能测试与分析,结果表明利用hadoop对海量遥感数据的并行化处理的可行性,并且还能满足海量遥感数据并行处理效率要求和高可用性。

With the development of science and technology of China, remote sensing data is growing exponentially, due to geographical information characteristics of remote sensing data, storage and processing of remote sensing data has become a research hotspot in recent years, using the Hadoop cloud computing platform of remote sensing data for parallel processing, the completion of the system test and performance analysis of parallel, the results show that the use of the feasibility of Hadoop parallel processing of remote sensing data, and can meet the requirement of parallel processing efficiency and high availability of massive remote sensing data.