• DocumentCode
    1425110
  • Title

    Required Spectral Resolution for Bioaerosol Detection Algorithms Using Standoff Laser-Induced Fluorescence Measurements

  • Author

    Farsund, Øystein ; Rustad, Gunnar ; Kåsen, Ingebjorg ; Haavardsholm, Trym Vegard

  • Author_Institution
    Norwegian Defence Res. Establ., Kjeller, Norway
  • Volume
    10
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    655
  • Lastpage
    661
  • Abstract
    We have developed and tested a standoff biological aerosol detection demonstrator employing ultraviolet laser-induced fluorescence. It is based on commercially available components including a pulsed 355-nm laser and an intensified charge-coupled device camera. Biological warfare simulants and interferents were released and measured in open air field and closed-chamber laboratory tests. We analyzed the experimental data at different spectral resolutions, using statistics-based anomaly detection, and spectral angle mapping algorithms. The results show that less than 20 spectral channels in the 350-700-nm spectral region are sufficient in order to discriminate between the agents released using these methods. This corresponds to sacrificing high spectral resolution for the benefit of more photons in each channel and reduced computation time.
  • Keywords
    CCD image sensors; aerosols; fluorescence spectroscopy; measurement by laser beam; photons; statistical analysis; bioaerosol detection algorithms; biological warfare simulants; charge-coupled device camera; closed-chamber laboratory tests; size 350 nm to 700 nm; spectral angle mapping algorithms; spectral resolution; standoff biological aerosol detection demonstrator; standoff laser-induced fluorescence measurements; statistics-based anomaly detection; ultraviolet laser-induced fluorescence; Aerosols; Algorithm design and analysis; Cameras; Data analysis; Detection algorithms; Fluorescence; Laboratories; Optical computing; Optical pulses; Testing; Fluorescence spectroscopy; object detection; spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2037794
  • Filename
    5419263