Edge Detection in SAR (Synthetic Aperture Radar) Imagery Using Gradient Operators,

Abstract

This memo presents a study of the problems involved in the detection of edge features on high resolution Synthetic Aperture Radar (SAR) images using gradient operators. An algorithm, proposed recently as a model of the human visual system, which embodied these techniques was investigated and found to give poor performance on SAR images. The reasons for this poor performance were studied and the conclusion drawn that edge detection by gradient operators alone was not appropriate for SAR images.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA149411

Entities

People

  • S. C. Giess

Organizations

  • Royal Signals and Radar Establishment

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Change Detection
  • Computer Vision
  • Convolution
  • Crossings
  • Detection
  • Detectors
  • Filters
  • Foreign Languages
  • High Resolution
  • Image Segmentation
  • Images
  • Noise
  • Radar
  • Scattering
  • Synthetic Aperture Radar

Fields of Study

  • Computer science

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.