Advanced Pattern-Matching Techniques for Autonomous Acquisition.

Abstract

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 establsihed by the scenario: enormous 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
Mar 01, 1980
Accession Number
ADA087684

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

  • Acquisition
  • Artificial Intelligence
  • Aspect Angle
  • Computer Programs
  • Computer Vision
  • Contracts
  • Databases
  • Diagrams
  • Extraction
  • Geometry
  • Image Processing
  • Munitions
  • Probability
  • Simulations
  • Temperature Gradients
  • Trees (Data Structures)
  • Video Tapes

Readers

  • Computer Vision.
  • Munitions and Ordnance Engineering
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Directed Energy