1994 Fiscal Year Final Research Report Summary
Database Management System for Large Images Supporting Temporal Image Retrieval
| Project/Area Number |
05558036
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | University of Tokyo |
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Principal Investigator |
TAKAGI Mikiko University of Tokyo, Institute of Industrial Science Professor, 生産技術研究所, 教授 (30013113)
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| Co-Investigator(Kenkyū-buntansha) |
MORIO Minoru Sony Corporation Executive Director, 専務取締役(研究職)
KITSUREGAWA Masaru University of Tokyo, Institute of Industrial Science Associate Professor, 生産技術研究所, 助教授 (40161509)
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| Project Period (FY) |
1993 – 1994
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| Keywords | database management system / image processing / data retrieval |
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| Research Abstract |
Recently, it has focused on the analysis of temporal satellite data for earth environmental engineering. It is necessary to develop a database system which consists of mass storages and online archivers for large satellite images and provides retrieval capabilities base on temporal and spacial information. In order to efficiently retrieve a large image whose size is almost 100MB,the on-line archiver provides high bandwidth for data transfer. Thus, we developed a hierarchical storage system which utilizes RAID technology and provides a high data transfer rate, but has only moderate capacity. DIR,a product of Sony Corporation, has a medium data transfer rate and supports high density D1 tapes whose storage capacity is 100GB,and an 8mm tape archiver which contains 200 tapes can be controlled automatically. We also developed special drivers for each storage systems, since it is necessary to migrate data among different storage systems and support efficient data retrieval. Then, we constructed a satellite image database on our prototype system in order to clarify our approach. The temporal and spacial data retrieval manager is also implemented on our hierarchical storage system and the performance of our system was evaluated. We confirmed that our prototype satellite image database is an efficient platform for analyzing temporal and spacial images for earth environmental engineering.
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