
Proceedings Paper
Novel classification fusion techniques for military target classificationFormat | Member Price | Non-Member Price |
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Paper Abstract
The objective of this paper is to develop novel classification structures for military targets detection and recognition by
employing different fusion techniques. In real applications, the great diversity of materials in the background areas and
the similarity between the background and target signatures result in high false alarm rates and large miss classification
errors. In this paper, three new systems are proposed using different fusion techniques: pixel level fusion, decision
fusion, and classification fusion employing confidence vectors. These new developed systems are tested using an
experimental data to show its effectiveness.
Paper Details
Date Published: 9 April 2007
PDF: 11 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710A (9 April 2007); doi: 10.1117/12.719654
Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)
PDF: 11 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710A (9 April 2007); doi: 10.1117/12.719654
Show Author Affiliations
Ting Liu, A.U.G. Signals (Canada)
George A. Lampropoulos, A.U.G. Signals (Canada)
Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)
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