An Essay to Characterise Information Fusion Systems

Abstract

Characterisation of an information fusion system (IFS) is a very difficult challenge. There are many levels of information fusion and there are many decision fusion models. One can argue that each problem is very specific and thus developing a generalized framework is utopia. This paper presents a simplified, and sometimes naive representation of IFS. This representation is based on characterising the inputs and outputs of IFS. An IFS is thus seen as a function that transforms the input into an output given some conditions. These conditions might include controls, background knowledge, and goals queries. We present a set of properties that might be considered to characterise a fusion function. This paper also discusses some challenges of distributed information fusion as a pre-requisite of Net-enabled operations.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA521164

Entities

People

  • A. Guitouni
  • E. Bosse
  • P. Valin

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Computations
  • Data Fusion
  • Databases
  • Decision Support Systems
  • Dynamic Programming
  • Environment
  • Fighter Aircraft
  • Genetic Algorithms
  • Information Processing
  • Information Science
  • Machine Learning
  • Measurement
  • Operations Research
  • Resource Management

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Image Processing and Computer Vision.
  • Theoretical Analysis.