Neural Networks for Automatic Recognition of Military Deployment Templates.

Abstract

A key function in tactical intelligence, is the ability to recognize patterns of behaviour in opposing force activities. Deployment templates are patterns that define the spatial layout opposing force units are known to employ, when carrying out a range of different operations. The early detection of these patterns, provide key indicators to intelligence analysts, for predicting future opposing force activities. In this paper, we investigate the use of neural networks to automatically detect deployment templates, when given full or partial opposing unit positional information. The spatial template recognition problem is a subset of many spatial pattern recognition problems found throughout defence, and the demonstrated success of this approach, could have important military implications beyond this particular application.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1996
Accession Number
ADA319025

Entities

People

  • Katrina Kerry
  • Richard Price

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Electronic Warfare
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Analysts
  • Artificial Intelligence
  • Computers
  • Deployment
  • Detection
  • Engineering
  • Genetic Algorithms
  • Information Systems
  • Intelligence Analysts
  • Neural Networks
  • Optimization
  • Pattern Recognition
  • Software Development
  • Surveillance
  • Tactical Intelligence
  • Universities

Fields of Study

  • Computer science

Readers

  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Speech Processing/Speech Recognition.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks