Detecting Line-Road and Road-Intersection Patterns at Various Angles.

Abstract

An extended Walsh transform technique for detecting and recognizing a set of cartographic features, such as linear roads and road intersections, at a variety of angles with the axes of the inspecting window is described. The method was implemented as software for an existing sensor array minicomputer system, which consists of a solid state array to convert optical images into electronic signals, a minicomputer as signal processor, and a computer-controlled translational stage as the imagery holder. Each angular orientation of the cartographic features is defined as a class of pattern and classified by using two minimum distance classifiers together with some pretesting algorithms. Typical experimental results are presented and conclusions are given.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1981
Accession Number
ADA116769

Entities

People

  • J. Robert Singleton
  • Pi-fuay Chen

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Aerial Photographs
  • Capillary Electrophoresis
  • Detection
  • Detectors
  • Engineers
  • Feature Extraction
  • Images
  • Light Sources
  • Machine Learning
  • Midrange Computers
  • Photographs
  • Photography
  • Procedures (Computers)
  • Recognition
  • Spectrum Analyzers
  • United States Military Academy
  • Walsh Functions

Readers

  • Computer Vision.
  • Phased Array Antenna Design.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems