Processing of Hyperspectral Imagery for Contamination Detection in Urban Areas

Mikhail A. Popov, Sergey A. Stankevich, Ludmila P. Lischenko, Vladimir V. Lukin, Nikolay N. Ponomarenko

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    4 Citations (Scopus)

    Abstract

    The application of hyperspectral imaging to detect soil contaminations is considered with respect to contamination assessment within urban areas. An optimal selection of hyperspectral imagery spectral bands is proposed. There is no reason to process all spectral bands as usually the 10-30 most informative ones are sufficient. A new criterion is introduced that incorporates such fundamental properties of hyperspectral imagery such as spatial resolution, mutual spectral information and signal-to-noise ratio. Algorithms for hyperspectral imagery processing and analysis were adapted for geochemical contamination detection. EO-1/Hyperion hyperspectral imagery was applied to central Kiev, Ukraine, and estimations of geochemical contamination of this area were mapped.

    Original languageEnglish
    Title of host publicationEnvironmental Security and Ecoterrorism
    Pages147-156
    Number of pages10
    Volume112
    DOIs
    Publication statusPublished - 2011
    Publication typeA3 Book chapter

    Publication series

    NameNATO Science for Peace and Security Series C: Environmental Security
    Volume112
    ISSN (Print)18746519

    Keywords

    • Geochemical contamination
    • Hyperspectral imagery
    • Urban area

    ASJC Scopus subject areas

    • General Environmental Science

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