Set Classification of Military Targets

Abstract

The present study shows by example the potential amount of information available in a set of observations of targets where there are known relations between these targets. Known relations between objects significantly reduces the set of possible explanations behind a set of observations. The application here is classification of military targets. Cost functions and interaction with decision makers extend the feasibility of the present approach meaningfully to treat many observations and possible targets behind these.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA428782

Entities

People

  • Bjorn J. Hansen
  • Reinert Korsnes

Organizations

  • Norwegian Defence Research Establishment

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Czech Republic
  • Information Operations
  • Instructions
  • Observation
  • Observers
  • Probability
  • Probability Distributions
  • Republic

Readers

  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.