This paper describes the data processing scheme for the Ground Penetrating Radar (GPR) array developed for the multi-sensor mine detection system DEMAND. The GPR sensor make use of a densely sampled array able to supply data suitable for Three Dimensional (3D) focusing and for the evaluation of the full polarization matrix. A processing scheme based on a low threshold approach followed by feature extraction will be described. Such scheme uses 3D focalization, geometrical features and polarimetric ones to both maximize probability detection and reduce false alarm rate. The results will be illustrated using data from tests carried out in a realistic site in Sarajevo (Bosnia-Herzegovina). The DEMAND GPR system has proven that 3D focalization can indeed raise the SCR for faint targets even in realistic environmental conditions bringing the GPR backscattered signal into detectability. The crucial features able to distinguish a valid GPR target from clutter are connected to geometry. Polarimetry effectiveness is good on pipe targets but it did not demonstrated similar performances for mines.


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    Title :

    Data processing for mine-detection polarimetric ground penetrating radar array


    Contributors:
    Alli, G. (author) / Bonopera, C. (author) / Sarri, A. (author) / Pinelli, G. (author) / Pasquale, G. de (author)


    Publication date :

    2005


    Size :

    4 Seiten, 5 Bilder, 5 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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