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The Research And Application Of Cloud Database Technology For Remote Sensing Data

Posted on:2015-01-15Degree:MasterType:Thesis
Country:ChinaCandidate:L F DuanFull Text:PDF
GTID:2298330431999089Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the continuous development of China-made high-resolution satellite technology,satellite remote sensing technology has a wide range of application requirements. It appearsthat the rapid growth in the amount of satellite remote sensing data, plus the amount of remotesensing data fields airborne remote sensing, remote sensing, ground daily to be able to get TBlevel has reached ten. So build a massive remote sensing storage, data sharing and applicationarchitectures become a research topic imminent. This issue is raised in this context, thepurpose is to build a database system to store massive amounts of remote sensing data, whilemeeting the various industries, various types of users about data retrieval, image files, such asaccess to application requirements.One contribution of this paper is to study the image segmentation five fifteenorganizational model and cloud database technology, to find the relevant points of both. Alsoabout the use of five-fifteen minute cut tile tile tissue models generated by self-designedremote sensing data cloud database RSCoud for storage. RSCloud using SQLite embeddeddatabase and distributed file system built up. By designing the virtual disk file name spacetechnology and tiles directly addressable technology and use. NET Remoting technology andWebService technology as a framework for communication and remote access, papercompleted the build RSCloud cloud database.Second contribution of this paper is to complete the development of cloud applicationservices database system. For fast retrieval and application requirements of image dataacquired in RSCloud framework designed three concurrent retrieval model and adding a datacaching mechanism block search strategies. Meanwhile, in order to protect the safety andsecurity of data access data, presented with a number of redundant hash die than technologyto protect the security of data transfer and data backup in case of failure of the recovery process in parallel. Finally, the development of the hardware monitoring module information,to ensure the stability of the services provided, and to provide the basis for cloud-basedstorage server products.This article is designed for remote sensing of cloud database system has been used inChina Remote Sensing Satellite preliminary application service system, and accordingly builda cloud center-cloud-based data sharing platform. After experimental verification, and runthe test, RSCloud capacity and can store data for information retrieval from massive remotesensing data, data acquisition efficiency with traditional centralized and distributed databasehas obvious advantages compared.
Keywords/Search Tags:Remote sensing image tiles, Image segmentation criteria, cloud database, MapReduce model, Block retrieval
PDF Full Text Request
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