Implementation of the Radon Transform Using Non-Equispaced Discrete Fourier Transforms

Abstract

The Radon transform may be used to identify linear features in an image and has proven to be a useful tool for extracting roads and faint trails in Synthetic Aperture Radar (SAR) imagery. In particular, it is robust to the large amount of background clutter and speckle noise associated with such images. This document reports on an implementation of the Radon transform within the Analyst's Detection Support System (ADSS). In particular, a novel implementation method has been used that is based on non-equispaced discrete fourier transforms, which are leading edge. The report offers an analysis and experimental results for two paths of study: the discretization errors that arise from the approach and a matched filtering method that may be used to enhance detection results. (1 table, 21 figures, 7 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA426347

Entities

People

  • Nicholas J. Redding
  • R. Jason Jones
  • Tristrom Cooke

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Australia
  • Classification
  • Detection
  • Discrete Fourier Transforms
  • Engineering
  • Information Processing
  • Information Science
  • Information Systems
  • Radar
  • Standards
  • Surveillance
  • Synthetic Aperture Radar
  • Two Dimensional
  • Universities

Fields of Study

  • Engineering

Readers

  • Computational Fluid Dynamics (CFD)
  • Image Processing and Computer Vision.
  • Software Engineering.