Revisions to the JDL Data Fusion Model

Abstract

The Data Fusion Model maintained by the JDL Data Fusion Group is the most widely used method for categorizing data fusion related functions. This paper discusses the current effort to revise and expand this model to facilitate the cost effective development, acquisition, integration and operation of multisensor/multisource systems. Data fusion involves combining information in the broadest sense to estimate or predict the state of some aspect of the universe. These may be represented in terms of attributive and relational states. If the job is to estimate the state of a people (or any other sentient beings), it can be useful to include consideration of informational and perceptual states in addition to the physical state. This paper reports on proposed revisions and expansions of the JDL Data Fusion model to remedy some of these deficiencies. This involves broadening the functional model and related taxonomy beyond the original military focus, and integrating the Data Fusion Tree Architecture model for system description, design and development.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA356422

Entities

People

  • Alan N. Steinberg
  • Christopher L. Bowman
  • Franklin E. White

Organizations

  • American Institute of Aeronautics and Astronautics

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Data Acquisition
  • Data Association
  • Data Fusion
  • Databases
  • Detection
  • Detectors
  • Engineering
  • Information Systems
  • Measurement
  • Recognition
  • Resource Management
  • Standards
  • Target Recognition
  • Targets
  • Tracks
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design