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Remote sensing data cloud storage method based on image block organization

A technology of image data and remote sensing data, which is applied in the cross-field of distributed storage and geographic information science, can solve the problem of unfavorable image data block and small file storage, and achieve saving network bandwidth and data download time, high data throughput rate, high The effect of usability

Active Publication Date: 2014-01-01
ZHEJIANG UNIV
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Problems solved by technology

This structure improves the overall performance of the system, but it is mainly optimized for the storage of large data sets, which is not conducive to the storage of large-scale image data blocks and small files

Method used

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  • Remote sensing data cloud storage method based on image block organization
  • Remote sensing data cloud storage method based on image block organization
  • Remote sensing data cloud storage method based on image block organization

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Embodiment

[0070] The implementation process of the remote sensing data cloud storage method based on image block organization includes three parts: uniform encoding of image data blocks, image data distributed storage model, and image data access.

[0071] 1. Remote sensing image data block unified coding method

[0072] Usually, the encoding using the Hilbert curve can better maintain the adjacency relationship between the image data blocks. This encoding method enables the adjacent image data blocks in the two-dimensional space to be placed as far as possible in the one-dimensional linear space. Adjacent positions, so that the physical storage of the image data block also maintains its spatial position characteristics. However, only using this encoding method to encode the image blocks of each layer separately will lead to repetition of encoding between different layers, making the encoding not unique.

[0073] In order to ensure the uniqueness of the coding of image data blocks in e...

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Abstract

The invention discloses a remote sensing data cloud storage method based on image block organization. The remote sensing data cloud storage method based on the image block organization comprises the following steps that (1) image data are put in storage, wherein (a) initialization is carried out, (b) metadata of a distributed image dataset are written in, (c) coding is carried out on image data blocks, (d) index data and image data blocks are written in a circulation mode, and (e) after the writing in of all the image data blocks is completed, an index sequence container and a data sequence container are closed, and the I / O resources of all other systems are released; (2) image data is retrieved, wherein (a) the metadata are read, (b) the rank number of the image data blocks is calculated, (c) image data block M codes are calculated, (d) the index record positions of the target image data blocks are calculated, and (e) target image data block collections are read. The remote sensing data cloud storage method based on the image block organization has quite important practical application value in the field of remote sensing data storage.

Description

technical field [0001] The invention relates to the interdisciplinary field of distributed storage and geographic information science, in particular to a remote sensing data cloud storage method based on image block organization. Background technique [0002] With the rapid development of the earth observation system, remote sensing data products are growing rapidly in a geometric progression. In order to reduce storage costs, major data storage centers at home and abroad generally adopt a multi-level data storage architecture, in which expensive special storage devices such as SAN are only used to store online data, while near-line data and offline data use tape libraries or DVDs. and other low-speed devices for storage, severely restricting the availability of near-line data and offline data. The distributed file system of the cloud storage platform supports increasing storage capacity and data throughput by adding cluster nodes on demand, and it is also cheap. Therefore...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
Inventor 张丰杜震洪池子文刘仁义
Owner ZHEJIANG UNIV
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