Data Base Structure to Support the Production of the Digital Bathymetric Data Base

Abstract

NORDA was tasked to develop a computer model that would support the storage and retrieval of the 7 billion points of collected bathymetry that are used to support the Ocean Survey Program. These data points are stored at a resolution that is beyond the noise level induced by the collection sensors. Gridding these bathymetric data on an acceptable resolution of 0.1 minute for areas of actual coverage can greatly reduce storage requirements. Further reductions can be achieved through the use of the compression algorithms developed as a result of this project. An overall compression ratio of 500 to 1 was demonstrated using actual data supplied by the Naval Oceanographic Office. Once the data base is reduced in size to a manageable level, relational data base management systems become practical for organizing information related to the bathymetry in order to provide easy multikeyed access. The Structured Query Language, a de facto standard for data base retrieval, can be used to query the data base to obtain tables of path names for the files that contain the compressed bathymetry. A suggested format for these files and the relational data base structure is presented. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1989
Accession Number
ADA227915

Entities

People

  • James E. Braud
  • James E. Current
  • Jerry L. Landrum
  • John L. Breckenridge

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Application Software
  • Central Processing Units
  • Compression Ratio
  • Computer Programs
  • Computers
  • Data Compression
  • Data Sets
  • Data Storage Systems
  • Database Management Systems
  • Databases
  • Domain Specific Programming Languages
  • Geographic Regions
  • Grids
  • Language
  • Naval Warfare
  • Navy
  • Relational Databases

Readers

  • Computer Science.
  • Computer Vision.
  • Database Systems and Applications