Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors

Tommy Sonne Alstrøm, Raviv Raich, Natalie Kostesha, Jan Larsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    We present a colorimetric sensor array which is able to detect explosives such as DNT, TNT, HMX, RDX and TATP and identifying volatile organic compounds in the presence of water vapor in air. To analyze colorimetric sensors with statistical methods, a suitable representation of sensory readings is required. We present a new approach of extracting features from a colorimetric sensor array based on a color distribution representation. For each sensor in the array, we construct a K-nearest neighbor classifier based on the Hellinger distances between color distribution of a test compound and the color distribution of all the training compounds. The performance of this set of classifiers are benchmarked against a set of K-nearest neighbor classifiers that is based on traditional feature representation (e.g., mean or global mode). The suggested approach of using the entire distribution outperforms the traditional approaches which use a single feature.
    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    PublisherIEEE
    Publication date2012
    Pages2125-2128
    ISBN (Print)978-1-4673-0045-2
    ISBN (Electronic)978-1-4673-0044-5
    DOIs
    Publication statusPublished - 2012
    EventIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) - Kyoto, Japan
    Duration: 25 Mar 201230 Mar 2012
    http://www.icassp2012.com/

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)
    CountryJapan
    CityKyoto
    Period25/03/201230/03/2012
    Internet address
    SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
    ISSN1520-6149

    Keywords

    • Hellinger distance
    • Chemo–selective compounds
    • Explosives detection
    • Feature extraction
    • K– nearest neighbor classification

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