Classification of Cartographic Features through Walsh Transforms.

Abstract

An Algorithm was used to classify and recognize a set of selected cartographic features, such as road intersections, straight-line roads, and rectangular objects, which were decomposed in the Walsh transform domain. The method was implemented digitally with an experimental system consisting of a solid state sensor array, a minicomputer as signal processor, and a computer-controlled translational stage as the image holder. Recognition examples for the set of cartographic features with respect to the window of inspection are presented. Nearly 90 percent recognition accuracy was obtained for the selected set of the cartographic features. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA116731

Entities

People

  • Frederick W. Rohde
  • Pi-fuay Chen
  • William W. Seemuller

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aerial Photography
  • Army
  • Artificial Intelligence
  • Classification
  • Coefficients
  • Computers
  • Detection
  • Detectors
  • Engineers
  • Feature Extraction
  • Inspection
  • Light Sources
  • Midrange Computers
  • Recognition
  • Spectrum Analyzers
  • Two Dimensional
  • Walsh Functions

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.