In clearing terrains contaminated or potentially contaminated by landmines and/or unexploded ordnances (UXOs), a quick wide-area surveillance is often required. Nevertheless, the identification of dangerous areas (instead of the detection of each subsurface object) can be enough for some scenarios/applications, allowing a suitable level of security in a cost-saving way. In such a framework, this paper describes a probabilistic approach for the definition of risk maps. Starting from the measurement of the scattered electromagnetic field, the probability of occurrence of dangerous targets in an investigated subsurface area is determined through a suitably defined classifier based on a support vector machine. To assess the effectiveness of the proposed approach and to evaluate its robustness, selected numerical results related to a two-dimensional geometry are presented.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A classification approach based on SVM for electromagnetic subsurface sensing


    Beteiligte:
    Massa, A. (Autor:in) / Boni, A. (Autor:in) / Donelli, M. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2005


    Format / Umfang :

    10 Seiten, 26 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Electromagnetic sensing of a subsurface metallic object at different depths

    Alzeyadi, Ahmed / Hu, Jie / Yu, Tzuyang | British Library Conference Proceedings | 2019


    Electromagnetic measurement of lunar subsurface water

    Jiracek, G. R. / Linlor, W. I. / Ward, S. H. | NTRS | 1971


    Subsurface discrimination using electromagnetic induction sensors

    Bell, T.H. / Barrow, B.J. / Miller, J.M. | Tema Archiv | 2000


    Electromagnetic detection of lunar subsurface water

    Jiracek, G. R. / Linlor, W. I. / Phillips, R. J. et al. | NTRS | 1970


    Subsurface sensing with acoustic and electromagnetic waves using a nonlinear inversion algorithm [4491-03]

    Abubakar, A. / van den Berg, P. M. / Budko, N. V. et al. | British Library Conference Proceedings | 2001