The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. We study an unknown two-dimensional scene composed of an environment, considered as a nuisance parameter set, with a possibly hidden anomaly/target. An optimal statistical invariant test is proposed to solve such a problem.


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    Titel :

    A statistical detection of an anomaly/target from noisy tomographic projections


    Beteiligte:
    Fillatre, L. (Autor:in) / Nikiforov, I. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    407713 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Statistical Detection of an Anomaly/Target from Noisy Tomographic Projections

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