Computer Model of a Passive Synthetic Aperture Imaging System

Abstract

This thesis was concerned with the development of a computer model of a passive synthetic aperture imaging system. The research was divided into three parts. They were (1) applying an understanding of partial coherence theory and its relationship to the impulse response of the system, (2) developing the computer model, and (3) exercising the computer model to perform a sensitivity analysis. The system modeled consisted of two lenses mounted on a movable platform. The lenses were separated by a fixed distance and travelled in a direction parallel to this separation. The coherence of radiation present at each lens emanating from a real source was measured yielding the Fourier transform of the source intensity distribution according to the van Cittert-Zernike theorem (2:510). The transform was then multiplied by an effective aperture (obtained from the motion and position of the lenses relative to the source). An inverse Fourier transform was then applied to this result yielding the image. This is the process modeled by the computer. The results indicated that new means of image interpretation must be developed in order to make the results useful. This is due to the fact that the system behaves much like a high pass filter and the image is edge enhanced and not a scaled version of the geometric image.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA164144

Entities

People

  • Christopher P. Kane

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Computer Programs
  • Computers
  • Detectors
  • Engineering
  • Filters
  • Filtration
  • Frequency
  • Geometry
  • Graphics
  • High Pass Filters
  • Intensity
  • Operating Systems
  • Radiation
  • Security
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Geodesy
  • Radar Systems Engineering.