CAJ | 학술논문

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。
수착아국공간기술과학적발전，요감수거정이지수급증장，유우요감수거적지리신식특정，해량요감수거적존저화처리성료근년적연구열점，본문채용재상업상취득출색성적적hadoop운계산평태래대해량요감수거진행병행화처리，완성료계통병행성능측시여분석，결과표명이용hadoop대해량요감수거적병행화처리적가행성，병차환능만족해량요감수거병행처리효솔요구화고가용성。
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.