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GIS-based Massive And Multi-source Image Archiving Database System Research And Practice

Posted on:2009-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:J M YuanFull Text:PDF
GTID:2120360245472940Subject:Cartography and Geographic Information Engineering
Abstract/Summary:PDF Full Text Request
Image data with a large quantity of data, a wide range of complex structures, and faster production features bring challenges to the management and distribution work. At present, many organizations use file-based system management the image data, when the volume of data over a certain size this way have exposed a series of problems that seriously affects the image precision retrieval, efficient distribution and use, reducing the utilization and efficiency of management. Under this background, this paper is focused on the study of using relational database technology combined with FTP file transfer protocol based on vector GIS for image data management. This thesis mainly introduced the image management-related research and development status, discussed the history and current situation of the massive image management and outlined distributed storage, network transmission, graphics rendering and a series of theories related to the huge image management. Focused on the key technologies in the process of the images database establishing: image data metadata management; multi-source image consistency of the coordinate system; multi-resolution image pyramid structure; the image space inquiry design based on the superposition of vector GIS system; image data fast display technologies. In the practice stage, based on the State's Western Mapping Project Management Platform's image data management needs, doing the investigation and actual research, design and development a specific operational archive image management software system and deploy the trial version of this system. After the development and testing practice for the systems, it further demonstrated that the image management model presented by this paper is feasible and rationality. In end of the paper, concluded the paper's research, and discussed the contents of the future.
Keywords/Search Tags:Massive image, Multi-Source image, Image database, Image Metadata, Image pyramid, Image query, Data security strategy
PDF Full Text Request
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