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Proceedings Paper

Sensor data fusion for spectroscopy-based detection of explosives
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Paper Abstract

In-situ trace detection of explosive compounds such as RDX, TNT, and ammonium nitrate, is an important problem for the detection of IEDs and IED precursors. Spectroscopic techniques such as LIBS and Raman have shown promise for the detection of residues of explosive compounds on surfaces from standoff distances. Individually, both LIBS and Raman techniques suffer from various limitations, e.g., their robustness and reliability suffers due to variations in peak strengths and locations. However, the orthogonal nature of the spectral and compositional information provided by these techniques makes them suitable candidates for the use of sensor fusion to improve the overall detection performance. In this paper, we utilize peak energies in a region by fitting Lorentzian or Gaussian peaks around the location of interest. The ratios of peak energies are used for discrimination, in order to normalize the effect of changes in overall signal strength. Two data fusion techniques are discussed in this paper. Multi-spot fusion is performed on a set of independent samples from the same region based on the maximum likelihood formulation. Furthermore, the results from LIBS and Raman sensors are fused using linear discriminators. Improved detection performance with significantly reduced false alarm rates is reported using fusion techniques on data collected for sponsor demonstration at Fort Leonard Wood.

Paper Details

Date Published: 5 May 2009
PDF: 12 pages
Proc. SPIE 7303, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 730329 (5 May 2009); doi: 10.1117/12.819902
Show Author Affiliations
Pratik V. Shah, Missouri Univ. of Science and Technology (United States)
Abhijeet Singh, Missouri Univ. of Science and Technology (United States)
Sanjeev Agarwal, Missouri Univ. of Science and Technology (United States)
Sahra Sedigh, Missouri Univ. of Science and Technology (United States)
Alan Ford, Alakai, Inc. (United States)
Robert Waterbury, Alakai, Inc. (United States)


Published in SPIE Proceedings Vol. 7303:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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