COMPRESSION OF TOPOGRAPHICAL DATA AND APPLICATIONS.

Abstract

The report describes the application of a segmentation technique for achieving compression of topographical data. A series of Monte Carlo tests is used to evaluate the quality and cost of the resulting approximation. It shows that in most instances the error due to the approximation is only a small fraction of the maximum. Therefore a large maximum error may be tolerated in the original design and thus a greater data compression may be achieved. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1970
Accession Number
AD0706222

Entities

People

  • Theodosios Pavlidis

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Compression
  • Computational Processes
  • Computer Vision
  • Computing-Related Activities
  • Data Compression

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Library and Information Science/ Studies, Southeast Asia Studies, Bibliography of Vietnam and Lao Studies.