Strategies for High-Resolution 3-D Millimeter Wave Imaging.

Abstract

Two strategies or approaches to millimeter wave (MMW) microwave imaging and recognition are investigated. One approach seeks to produce cost-effective high resolution images of scattering targets and scenes that would resemble as closely as possible their more familiar visual and therefore can be readily recognized and interpreted by a minimally trained observer. In this approach we have extensively studied the principles and methodologies of a 3-D tomographic microwave /mmw diversity imaging where angular, spectral, and polarization degrees of freedom are combined for efficient imaging of remote scattering objects. This work has lead to images with unprecedented quality with near optical resolution employing a unique experimental microwave imaging facility. At such high resolution, image artifact produced by clutter and multiple reflections on the target can be detrimental as these and specially the latter can make the microwave/mmw image depart noticeably in appearance from the visual image in that ghost detail not corresponding to any physical detail on the target can emerge. For this purpose we have conducted a study of the effect of background clutter and multiple reflections on image quality. It was found that microwave/mmw images can be separated from ground or clutter provided that adequate range resolution is available.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1987
Accession Number
ADA178653

Entities

People

  • Nabil H. Farhat

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Brushless Dc Motors
  • Computational Science
  • Computers
  • Content Addressable Memory
  • Detectors
  • Diffraction
  • Electrical Engineering
  • Electromagnetic Scattering
  • Frequency Bands
  • Geometry
  • Neural Networks
  • Self Organizing Systems
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.
  • Systems Analysis and Design

Technology Areas

  • 5G