Target Classification Using SAR (Synthetic Aperture Radar) Polarimetric Data

Abstract

This study investigates the polarimetric behavior of canonicals with in single resolution cells. The aim of this investigation is to ascertain whether the contents of a resolution cell can be determined by examination of the polarimetric data. The canonicals addressed in this thesis effort are the dihedral and the flatplate, although the associated theory and software is readily applicable to other primitives. The main software package used during this thesis is SARTOOL, although additional ancillary software is presented such that the output of SARTOOL can be represented on the Poincare sphere. Finally, both single level and multi-level perceptron networks are used to process the resolution cell output and return a decision on the contents of the cell. This preliminary study of the polarimetric and perceptron combination provides some valuable insight into the possible potential of polarimetrics and Artificial Intelligence in the area of target identification. Theses. (AW)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA215672

Entities

People

  • Alan P. Callaghan

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Application Protocols
  • Artificial Intelligence
  • Computer Programs
  • Computers
  • Databases
  • Detection
  • Detectors
  • Geometry
  • Identification
  • Pattern Recognition
  • Polarization
  • Radar
  • Recognition
  • Reflectors
  • Scattering
  • Target Classification

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy