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A comparison on information fusion methods for air target identification

Published: 13 March 2005 Publication History

Abstract

We compared the performance of Bayes Theory, Fuzzy Set Theory, Heuristic method and Dempster-Shafer Theory in the identification of aircrafts by using the information from different sensors. From the results of the simulation, the Fuzzy method produces the best result. The final identification could be improved if specific features of each type of aircraft are available. To get more accurate object identification, the results from each method can be combined with the best assignment of values for each method.

References

[1]
Air force research laboratory technology "Battlespace Awareness through Information Fusion". Retrieved February 2004 from http://www.afrlhorizons.com/
[2]
Steven L. Tanimoto, The Elements of Artificial Intelligence, Computer Science Press, p 239, 1987.
[3]
Edward Walt, Jame Llinas, Multisensor Data Fusion, Artech House; Boston, London, 1991.
[4]
Yaakkov Bar-Shalon, MultiTarget-MultiSensor Tracking: Application and Advances, Vol II, Artech House, 1992.
[5]
David Hall and Sonya McMullen, Mathematical Techniques in Multisensor Data Fusion, Artech House, March 2004.
[6]
Dong-Seob Jang, Information Fusion Methods for Air Target Identification, MS thesis, Department of Computer Science and Electrical Engineering, South Dakota State University, May 2004.

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Published In

cover image ACM Conferences
SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
March 2005
1814 pages
ISBN:1581139640
DOI:10.1145/1066677
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2005

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Author Tags

  1. bayes theory
  2. dempster-shafer theory
  3. fuzzy set
  4. information fusion

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SAC05
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SAC05: The 2005 ACM Symposium on Applied Computing
March 13 - 17, 2005
New Mexico, Santa Fe

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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