Discarding unwanted features from GPR data using downsample-upsample method

Mousumi Gupta, Branislav Vuksanovic, Hizrin Hidzir

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

    Abstract

    The paper describes a novel method for the reduction of unwanted features present in the images obtained using ground penetrating radar (GPR). To achieve this objective a recently developed downsample-upsample filtering technique has been applied to measured GPR images. Results obtained by processing raw GPR images containing high level of unwanted signals and clutter indicate promising performance of the proposed technique. As there is usually no 'ideal' or clean image available in most of GPR situations and measurements, classical image quality metrics such as peak signal to noise ratio (PSNR) and similar are not best suited to evaluate results of this, or indeed any other GPR image enhancement algorithm. This problem is discussed and illustrated in the conclusion of the paper.

    Original languageEnglish
    Title of host publicationInternational Radar Symposium, IRS 2013 - Proceedings
    Pages829-834
    Number of pages6
    Volume2
    Publication statusPublished - 19 Sep 2013
    Event2013 14th International Radar Symposium - Dresden, Germany
    Duration: 19 Jun 201321 Jun 2013

    Conference

    Conference2013 14th International Radar Symposium
    Abbreviated titleIRS 2013
    Country/TerritoryGermany
    CityDresden
    Period19/06/1321/06/13

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