GPR image decomposition using two dimensional Singular Spectrum Analysis

Branislav Vuksanovic*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    154 Downloads (Pure)

    Abstract

    Ground penetrating radar measurements can suffer from large amount of noise and clutter. Current methods, such as time gating and background averaging, mostly applied to remove reflections from air-ground interface do not perform well when removal of extraneous and very strong and non-uniform clutter signals originating from the objects in the surveyed area other than the target is needed. This work describes and evaluates performance of Singular Spectrum Analysis (SSA) and its multivariate derivatives for those tasks. Experimental GPR data using simple geometric shapes measured under laboratory conditions are used to demonstrate the effectiveness of proposed algorithm for these tasks.

    Original languageEnglish
    Title of host publication9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages288-293
    Number of pages6
    ISBN (Electronic)978-1467380324
    DOIs
    Publication statusPublished - 26 Oct 2015
    Event9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015 - Zagreb, Croatia
    Duration: 7 Sep 20159 Sep 2015

    Publication series

    Name
    ISSN (Print)1845-5921

    Conference

    Conference9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015
    Country/TerritoryCroatia
    CityZagreb
    Period7/09/159/09/15

    Keywords

    • clutter
    • ground penetrating radar
    • target
    • two dimensional singular spectrum analysis

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