Research on Distributed Storage of Big Data Based on HBase Remote Sensing Image
Cungui Liang, Liqing Zhou · 2019
With the rapid development of remote sensing, satellites and drone technologies, the remote sensing image datasets are exploding. The traditional storage modes can't meet the storage requirements of massive remote sensing image data. Therefore, this paper proposes a large data storage scheme for remote sensing image based on HBase. The method utilizes distributed storage and column-oriented open source database HBase as the storage model of remote sensing image big data, and uses tile pyramid technology and MapReduce parallel computing framework to construct the tile pyramid of remote sensing image. Finally, the remote sensing image data blocks are stored in the distributed database HBase. This method can effectively improve the storage problem of remote sensing image big data, and has good reliability, scalability and processing efficiency.