Hybrid Template- and Model-Based ATR Formulation

Abstract

Template based automatic target recognition (ATR) algorithms such as the Synthetic Aperture Radar Target Location and Recognition System (STARLOS) algorithm typically use separate templates to represent target signatures for ranges of articulations, aspect, depression, and squint angles. There is a performance tradeoff between ATR accuracy and the number of templates used. We use a hybrid model/template with target models to augment a small set of target templates. The basic idea will be to determine the transformation or perturbations required to modify a given template so that it accurately represents the signature of a neighboring sensor geometry or target articulation. By incorporating a model for these perturbations into the ATR algorithm, we can reduce the total number of templates required and provide robustness to new collection geometries, obscuration, and articulation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA358575

Entities

People

  • John D. Gorman
  • Nikola S. Subotic
  • Stephen Welby

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Depression Angles
  • Detection
  • External Stores
  • Four Dimensional
  • Geometry
  • Hypotheses
  • Image Processing
  • Information Systems
  • Models
  • Obscuration
  • Recognition
  • Synthetic Aperture Radar
  • Target Recognition
  • Target Signatures
  • Template Patterns

Readers

  • Nanocomposite Materials Science
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design