Advanced Pattern Matching Techniques for Autonomous Acquisition.

Abstract

This is the first interim quarterly progress report on 'Advanced Pattern Matching Concepts'. The key objective of this effort is the development of pattern-matching algorithms which can impart autonomous acquisition capability to precision-guided munitions such as Copperhead and Hellfire. Autonomous acquisition through pattern-matching holds the promise of eliminating laser designation and enhancing fire power by multiple target prioritization. The pattern-matching approach being developed under this program is based on a symbolic pattern-matching framework, which is suited for the autonomous acquisition scenario. It is based on matching a symbolic representation derived from the two images, and it can accommodate the stringent pattern-matching criteria established by the scenario: enormous differences in the scene perspective, aspect and range between the two sensors, differences in sensor characteristics and illumination, and scene changes such as target motion and obscuration from one view point to the other.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA082038

Entities

People

  • J. J. Grabau
  • P. M. Narendra

Organizations

  • Honeywell International, Inc.

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Anti-Tank Missiles
  • Artificial Intelligence
  • Computer Vision
  • Databases
  • Directional
  • Feature Extraction
  • Filters
  • Filtration
  • Geometry
  • Image Processing
  • Laser Guidance
  • Matched Filters
  • Multiple Targets
  • Pattern Recognition
  • Recognition
  • Remotely Piloted Vehicles
  • Targets

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Software Engineering

Technology Areas

  • Directed Energy