The RDB: A parallel, spatial database for the IES/BTI system

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The manipulation and representation of spatial data on computers is an important issue in many computer applications. Spatial data, which consists of points, lines, and regions in 2-dimensions, can be difficult to manage efficiently because it is often quite voluminous. For instance, the number of picture elements in even a small digital image is on the order of a million, while the number of locations stored in a terrain database can easily include billions of points. Furthermore, the kinds of operations performed on spatial data -- set operations, insertion, deletion, searches such as ``near`` -- are compute intensive, and hence ... continued below

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14 p.

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Carlson, K. & Winter, L. April 1, 1995.

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Description

The manipulation and representation of spatial data on computers is an important issue in many computer applications. Spatial data, which consists of points, lines, and regions in 2-dimensions, can be difficult to manage efficiently because it is often quite voluminous. For instance, the number of picture elements in even a small digital image is on the order of a million, while the number of locations stored in a terrain database can easily include billions of points. Furthermore, the kinds of operations performed on spatial data -- set operations, insertion, deletion, searches such as ``near`` -- are compute intensive, and hence slow unless the data is structured to reflect its underlying topology. Hence a conventional database which is organized on search keys is often not adequate for handling spatial data. The Image Exploitation System, which is an automated image analysis system, has a great need for efficient storage and manipulation of spatial data. The Image Exploitation System is part of the Advanced Research Project Agency`s Balanced Technology Initiative and is abbreviated IES/BTI. IES/BTI must process tens to hundreds of megabytes of imagery in a few minutes, and is composed of many independent components which need to access and share spatial data. The system needed an efficient parallel spatial database, hence the motivation for our work on the Region Database, or RDB. The RDB is our attempt to meet the needs of the IES/BTI Cycle 2 system. The RDB provides for storage and retrieval of both raster and vector based spatial data as well as attribute-based retrievals. It also provides facilities for conversion between the two representations of spatial data (raster and vector) and for efficient, parallel boolean operations on vector data. In this paper we discuss the research and development performed to design and implement the RDB.

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14 p.

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OSTI as DE95009425

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  • Large spatial databases (SSD `95), Portland, ME (United States), 6-9 Aug 1995

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  • Other: DE95009425
  • Report No.: LA-UR--95-910
  • Report No.: CONF-950889--1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 62619
  • Archival Resource Key: ark:/67531/metadc695282

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  • April 1, 1995

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  • Aug. 14, 2015, 8:43 a.m.

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Carlson, K. & Winter, L. The RDB: A parallel, spatial database for the IES/BTI system, article, April 1, 1995; New Mexico. (digital.library.unt.edu/ark:/67531/metadc695282/: accessed September 25, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.