Distributed Storage and Query Method of Satellite Image Data based on HBase

Abstract

With the rapid development of aerospace industry, satellite image data has shown a blowout growth. At present, the annual data reception capacity of a satellite has reached TB level, and the data size of a satellite image can reach about 2GB. This poses a serious challenge. Based on the Hadoop framework, this paper studies the HBase-based satellite image big data solution, and provides three query methods as HBase, Hive, and Impala according to the application scenario.