Exploitation of ISAR Imagery in Euler Parameter Space

Abstract

Efforts are being made to exploit the full-polarimetric radar scattering nature of ground targets to extract maximum information, enabling target identification and classification. These efforts have taken varied approaches to decomposing the polarimetric scattering matrix into more meaningful, phenomenological parameter spaces. The Euler parameters have potential value in target classification but have historically met with limited success due to ambiguities that arise in decomposition as well as the parameters' sensitivity to noise and target movement. Using polarimetric ISAR signatures obtained from stationary targets in compact radar ranges at the University of Massachusetts Lowell Submillimeter Technology Laboratory and the U.S. Army National Ground Intelligence Center (NGIC), correlation studies were performed in the Euler parameter space to assess its impact on improving target classification. Methods for deriving explicit transform equations that minimize ambiguities will be presented, as will the results of the correlation studies.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA462980

Entities

People

  • Christopher Baird
  • R. Giles
  • W. E. Nixon
  • W. T. Kersey

Organizations

  • University of Massachusetts Lowell

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Ambiguity
  • Difference Equations
  • Eigenvalues
  • Equations
  • Frequency
  • Identification
  • Ka Band
  • Massachusetts
  • Numerical Analysis
  • Radiation
  • Recognition
  • Scattering
  • Target Recognition
  • Target Signatures
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Linear Algebra
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects