Detection of Signal Signatures of Cartographic Features,

Abstract

A semi-automated technique was developed for extracting and recognizing cartographic features, such as, road intersections, straight line roads, and rectangular objects from aerial photographs. The method uses the Walsh transform processing technique, and was implemented with an electronic experimental system consisting of a solid-state sensor array, a minicomputer, and a computer-controlled translational stage as the imagery holder. Successful experimental results were obtained for a selected set of cartographic features of the types described above. This feature extractor will be integrated in parallel with other feature extractors, which are to be developed in the future, to become a total automated feature extraction system. A method for detecting the decomposed signal signatures representing cartographic features using analog processors is described. Finally, conclusions are given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 17, 1980
Accession Number
ADA082235

Entities

People

  • Pi-fuay Chen
  • William Seemuller

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Photographs
  • Analog Signals
  • Computers
  • Delay Lines
  • Detection
  • Detectors
  • Engineers
  • Feature Extraction
  • Images
  • Light Sources
  • Midrange Computers
  • Pattern Recognition
  • Photographs
  • Recognition
  • Shift Registers
  • Two Dimensional
  • Walsh Functions

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • Microelectronics