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
CN103281376AInactive Publication Date: 2013-09-04WUHAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
WUHAN UNIV
Publication Date
2013-09-04
Estimated Expiration
Not applicable · inactive patent

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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.
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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...

Claims

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