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Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment

A remote sensing image and automatic caching technology, which is applied in the intersection of geographic information and cloud computing technology, can solve the problems of work efficiency, the lack of full use of MapReduce data localization computing characteristics, and the inability to meet the requirements of cache construction, etc., to achieve good universality sexual effect

Inactive Publication Date: 2013-09-04
WUHAN UNIV
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Problems solved by technology

Although there have been image pyramid slicing methods based on MapReduce, such methods use simple MapReduce image slicing algorithms, and have not discussed in depth their work efficiency in the Hadoop cloud environment around the characteristics of cache construction, so they have not fully utilized MapReduce. The data localization computing characteristics; at the same time, this kind of method is a one-time batch task, which cannot meet the requirements of cache construction with the above data characteristics

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  • Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment
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  • Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment

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Embodiment Construction

[0038] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0039] The caching grid model used in the embodiment is: Global Logical Tile Scheme, which is under geodetic projection with 2 n+1 The multi-level longitude and latitude grid divided by ×2n is used as the basis to establish a global map tile division. The first layer is a 2 (longitude direction)×1 (dimensional direction) grid, and the grid units of this layer can be further subdivided into high-level grids by quadtree division. For details, see the literature "John T.Sample, Elias Loup: Tile-Based Geospatial Information Systems. Principles and Practices. New York, 2010, pp.7-9."

[0040] The adopted cloud environment is built with the MapReduce framework in the Hadoop software stack, the HDFS distributed file system, and the HBase columnar database. The hardware environment is a distributed cluster environment including multiple Racks e...

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Abstract

Provided is a method for automatic caching construction of massive timing sequence remote-sensing images in a cloud environment. The method for automatic caching construction of the massive timing sequence remote-sensing images in the cloud environment comprises the steps of carrying out data optimization partition on sub-scene data which are received newly in a fixed time interval aiming at imaging caching construction characteristics in the Hadoop cloud environment, carrying out single-scene or multi-scene data caching calculation, wherein a scene is of a data-block particle size, influencing task scheduling of caching slices through optimizing placement of data blocks in the cloud environment, and thus achieving an automatic caching construction process through a plurality of continuous small-batch MapReduce tasks in time in a condition that time sequence images continuously reach. The method for automatic caching construction of the massive timing sequence remote-sensing images in the cloud environment exerts the characteristic of data localization calculation of MapReduce as far as possible through a plurality of optimizing strategies, can carry out rapid construction and update of various caching services of time sequence reaching remote-sensing data in a short cycle by using scalable cloud computing capacity provided by Hadoop, is applicable to remote-sensing images with different space temporal resolutions and different data sources, and has good universality.

Description

technical field [0001] The present invention relates to the intersection field of geographic information and cloud computing technology, and in particular to a method for constructing a fast cache for massive remote sensing data arriving in time series by using a cloud computing environment in "real-time dynamic monitoring of the surface environment". Background technique [0002] Remote sensing images have the ability to express continuous geographical phenomena with multiple resolutions, and have played an important role in the monitoring of surface environment and natural disasters. Tile cache service is the supporting technology for the application and sharing of remote sensing image information. It establishes a multi-level static WMS (Web Map Service) through data sampling to realize multi-scale fast access to images based on the network. [0003] At present, the high-temporal-spatial resolution sensor technology of the earth observation platform is developing rapidly...

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Application Information

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IPC IPC(8): H04L29/08
Inventor 孟令奎李继园黄长青张文樊志伟
Owner WUHAN UNIV
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