Synthetic Aperture Radar Data Variance Analysis.

Abstract

Analysis and investigations in the area of target classification based upon four-look synthetic aperture radar return were conducted using FLAMR data, to determine the extent to which four-look image plane radar returns may be used to discriminate between tactical targets and natural features. The image-plane data derived from a ground scene by an airborne, imaging Synthetic Aperture Radar (SAR) often exhibit significant look-to-look variations in the returns from a single resolution element. Examination of various resolution elements, or pixels (picture elements) from a number of doppler beam sharpening (DBS) scans, recorded in flight with the Forward Looking Advanced Multimode Radar (FLAMR) experimental flight test radar system, appeared to show that the returns from some types of man-made objects vary over a greater dynamic range than do the returns from other types of objects. The wavelength of FLAMR was such (.018 meters) that a FLAMR 'high resolution' (20 ft) pixel could contain many prominent scatterers. This, with the overlay ratio (4:1) frequently employed, together with the look-to-look change in aspect angle at the target, lead to the expectation that a noticeable variation in the composite reutrn from a given pixel might occur. This variation could be greater for some types of targets than for other types of a more diffuse nature.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1980
Accession Number
ADA112931

Entities

People

  • Roy Pietsch
  • William A. Rasco Sr

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • California
  • Computers
  • Data Mining
  • Data Science
  • Distribution Functions
  • Frequency Diversity
  • High Resolution
  • Information Processing
  • Information Science
  • Plastic Explosives
  • Probability Density Functions
  • Probability Distributions
  • Radar
  • Recording Systems
  • Statistics
  • Surveys
  • Synthetic Aperture Radar

Readers

  • Computer Vision.
  • Radar Systems Engineering.