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A Distributed Storage Scheme for Remote Sensing Image based on Mapfile

Volume 14, Number 10, October 2018, pp. 2545-2552
DOI: 10.23940/ijpe.18.10.p30.25452552

Guangsheng Chena,b, Pei Niea,b, and Weipeng Jinga,b

aCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, 150040, China
bHeilongjiang Province Engineering Technology Research Center for Forestry Ecological Big Data Storage and High Performance (Cloud) Computing, Harbin, 150040, China

(Submitted on July 11, 2018; Revised on August 13, 2018; Accepted on September 16, 2018)

Abstract:

Hyperspectral image has a large amount of data and complex structure. The distributed storage of massive remote sensing data is a hot topic today; however, the current research mostly separates the image pixels and metadata, resulting in poor system cohesion and poor data access performance. At the same time, the needs of various upper-level remote sensing algorithms are not fully considered, which makes the system less available. In view of the above problems, this paper presents a distributed image storage model based on HDFS, which stores the entire image data model in a structure to improve the system cohesion, and provides a flexible data blocking strategy for upper-level applications to meet a variety of data access needs. The comparison experiments show that the storage model has better access performance than the existing schemes.

 

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