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Proceedings Paper

Level 0-2 fusion model for ATR using fuzzy logic
Author(s): Charles F. Hester; Kelly K. Dobson
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Paper Abstract

The JDL model for fusion provides a structure for fusion of multispectral data at all levels. Fused data provides improved performance in Automatic Target Recognition (ATR). Critical to the overall fusion performance, however, is the low level(0-2) fusion of sensory and context information. Loss of information must be avoided at this level, but complexity must be reduced. A model is presented that uses fuzzy sets to form entities and capture the information needed for target recognition. Examples using multi-spectral imagery will be presented.

Paper Details

Date Published: 28 April 2010
PDF: 10 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 771007 (28 April 2010); doi: 10.1117/12.852915
Show Author Affiliations
Charles F. Hester, U.S. Army Aviation and Missile Research, Development and Engineering Ctr. (United States)
Kelly K. Dobson, U.S. Army Aviation and Missile Research, Development and Engineering Ctr. (United States)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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