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Proceedings Paper

Fusion of disparate spectra for chemical identification
Author(s): Christian P. Minor; Heather Brooke; Kevin J. Johnson
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Paper Abstract

Currently there is no systematic framework for characterizing fused, multisensory systems, and therefore the comparison of multiple independent systems is difficult without extensive field-testing. Development of a framework would allow for theoretical comparisons and enable more rapid prototyping of fused sensor systems, guidance for design from existing sensor components, and more effective engineering of new sensors optimized for use in fused sensor systems. Recent research at NRL has focused on characterizing Fourier transform infrared spectroscopy (FTIR) and mass spectrometry data for fused, multisensor applications to enhance chemical detection and discrimination in the presence of complex interfering backgrounds. An information theoretic approach has been used to elucidate the information content available from spectral data, quantify the ability of these sensing techniques to distinguish chemicals, and determine their susceptibility to noise and resolution limitations. The approach has also been applied to feature extraction and data fusion techniques on these data. Results characterizing the effectiveness of a fused multisensor system combining FTIR and mass spectrometry are presented.

Paper Details

Date Published: 6 June 2011
PDF: 14 pages
Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011, 80640J (6 June 2011); doi: 10.1117/12.883926
Show Author Affiliations
Christian P. Minor, Nova Research, Inc. (United States)
Heather Brooke, U.S. Naval Research Lab. (United States)
Kevin J. Johnson, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 8064:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011
Jerome J. Braun, Editor(s)

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