Radar Bridge Patterns Extraction and Recognition.

Abstract

A technique is described for detecting and recognizing various bridge patterns with different orientation angles from a set of radar imagery. The algorithm combines Hough transform, Soble edge operator, image thresholding methods, and decision logics and was implemented as a software for an experimental hardware system consisting of a 32-element by 32-element solid-state array, a minicomputer, and a computer-controlled translational stage. The resolution of bridge orientation angle detection was determined to be approximately 22.5 degrees for the current system setup. This resolution can be improved by enlarging the input measurement array size. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1983
Accession Number
ADA129644

Entities

People

  • Neil D. Fox
  • Pi-fuay Chen

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cartesian Coordinates
  • Change Detection
  • Computations
  • Computers
  • Detection
  • Digital Image Processing
  • Digital Images
  • Engineers
  • Extraction
  • Feature Extraction
  • Hard Copy
  • Image Processing
  • Images
  • Measurement
  • New York
  • Recognition
  • Video Signals

Fields of Study

  • Engineering

Readers

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