Research in Image Understanding as Applied to 3-D Tomographic Imaging with Near Optical Resolution.

Abstract

Our research in high resolution microwave imaging has to date focused broadly on the study and development of efficient and cost-effective data acquisition and image reconstruction methods for use in lambda and polarization diversity 3-D tomographic imaging. The techniques developed, combine angular, spectral, and polarization diversity measurements with a unique target derived reference (TDR) technique to produce images of the scattering centers on complex-shaped bodies with unprecedented resolution and quality, as reported here, that exceed by far anything reported to this date. Analytical studies of information content, speckle suppression, and resolution show however that image quality can further be enhanced and made to approach and even exceed the resolution of optical systems when the imaging of remote objects specially through the earth's atmosphere is desired. Originator supplied keywords include: Radar imaging, coherent and incoherent 3-D imaging, microwave tomography, wavelength diversity, polarization diversity, image reconstruction, filtered back-projection, the Fourier camera, dielectric imaging, and measurement methodologies.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1984
Accession Number
ADA150098

Entities

People

  • D. Jaggard
  • K. Schultz
  • L. S. Chang
  • N. H. Farhat
  • T. H. Chu

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Bandwidth
  • Computer Vision
  • Data Acquisition
  • Detectors
  • Electrical Engineering
  • Electromagnetic Scattering
  • Frequency Bands
  • Geometry
  • High Resolution
  • Information Processing
  • Pattern Recognition
  • Signal Processing
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.