Super-Resolution Imagery by Frequency Sweeping.

Abstract

A longstanding problem in radar and electromagnetic scattering measurements is the reconstruction of object shape and detail, i.e. an image, from far field scatter data to be used in object identification and classification. During the period covered by this report we have been able to demonstrate in a feasibility study the first reconstruction of a 3-D image of a perfectly reflecting object from its wave-vector diversity (multifrequency and multiaspect) scatter data making use of a new Weighted Fourier Domain Projection Theorem (WFDPT) and establish a relationship between holography with wavelength diversity and inverse scattering. Coherent wave vector diversity radar techniques are used to access a finite volume of the 3-D Fourier space (also known as reciprocal space or p-space) of the scattering object. The WFDPT permits the use of hybrid (digital/optical) computing that enables the retrieval and display of 3-D image information in parallel slices or cross-sectional outlines. The major attributes of this approach as compared to totally digital computing are its potential for displaying a true 3-D image in real-time. Wave-vector diversity methods appear suitable for the imaging of two classes of practical objects namely non-dispersive perfectly reflecting objects of the type often encountered in radar (and sonar) and semitransparent weakly scattering objects such as certain ultrasound and light scattering objects encountered in biology and medicine.

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Document Details

Document Type
Technical Report
Publication Date
Aug 15, 1980
Accession Number
ADA090838

Entities

People

  • Charles Werner
  • N. H. Farhat

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Bandwidth
  • Birds
  • Computers
  • Data Acquisition
  • Detection
  • Detectors
  • Diffraction
  • Electromagnetic Scattering
  • Frequency Diversity
  • Geometry
  • Measurement
  • Optics
  • Scattering
  • Signal Processing
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Computer Vision.
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects