A Distributed Storage Scheme for Remote Sensing Image based on Mapfile

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...

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Bibliographic Details
Published in:International journal of performability engineering 2018-10, Vol.14 (10), p.2545
Main Authors: Chen, Guangsheng, Nie, Pei, Jing, Weipeng
Format: Article
Language:English
Subjects:
Cohesion
Data storage
Detection
Hyperspectral imaging
Image storage
Information storage
Remote sensing
Studies
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Summary: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.
ISSN:0973-1318
DOI:10.23940/ijpe.18.10.p30.25452552