MAPS: The Organization of a Spatial Database System Using Imagery, Terrain, and Map Data

Abstract

This paper presents the system description and organization of MAPS, the Map Assisted Photo interpretation System. MAPS is a large integrated database system containing high resolution aerial photographs, digitized maps and other cartographic products, combined with detailed three dimensional descriptions of man-made and natural features in the Washington D.C. area. This paper discusses three major topics. First, classification of different models of database systems for cartographic applications is presented together with a discussion of their inherent strengths and limitations. These models are the Image Database model, the Map Picture Database model and the Image/Map Database (IMD) model. Second, the author argues for the utility of the Image/Map Database model, discuss tasks and presents a general description of the model. This model describes components, facilities and techniques that should be present in such a system, and a range of tasks that can be supported by the model. Finally, he describes the MAPS system in terms of the (IMD) model, and discuss three applications which utilize and integrate image, terrain, and map data in a powerful manner. He also discusses what has been learned during the implementation of the MAPS system, some ideas on the proper interfaces between components, where modularity should be achieved, and point to future work.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADP001199

Entities

People

  • David M. Mckeown Jr.

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Cameras
  • Cartography
  • Change Detection
  • Computer Graphics
  • Computer Vision
  • Computers
  • Coordinate Systems
  • Data Processing
  • District Of Columbia
  • Feature Extraction
  • High Resolution
  • Image Processing
  • Information Systems
  • Pattern Recognition
  • Photographs
  • Scene Generation
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Systems Analysis and Design