Context and Quasi-Invariants in Automatic Target Recognition (ATR) with Synthetic Aperture Radar (SAR) Imagery

Abstract

This analysis of XPatch synthesized SAR images shows promising results on existence of persistent scatterers and their measurement in XPatch imagery. Preliminary results based on persistent scatterers and a generic vehicle model demonstrate estimation of vehicle orientation to about 3 degrees, length between wheels to about 30 cm, and estimating number of wheels, without knowledge of vehicle class or pose. Planned research will investigate recognition using generic target and clutter models in analysis of a stable, useful subset of radar images. Research will include quantitative characterization of persistent scatterers and stable relations, an end-to-end recognition test, and investigation of supporting technology for MSTAR. The paradigm offers a genuine methodology to cope with articulation and obscuration.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA405527

Entities

People

  • By-her Wang
  • Thomas O. Binford
  • Tod S. Levitt

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Automatic
  • Computer Science
  • Detection
  • Detectors
  • Identification
  • Images
  • Leading Edges
  • Measurement
  • Obscuration
  • Radar
  • Radar Images
  • Recognition
  • Synthetic Aperture Radar
  • Target Recognition

Readers

  • Computer Vision.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Systems Analysis and Design