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Detection and localization of an anomaly from noisy projections

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Abstract

The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. An unknown 2D (or 3D) scene is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. A parametric approach is proposed to reduce the lack of a priori information and two statistical tests are discussed : the first one, invariant, is devoted to simply detect the presence of an unspecified anomaly and the second one is able to simultaneously detect and localize the projection of a size limited anomaly.
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Dates and versions

hal-02884036 , version 1 (29-06-2020)

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Lionel Fillatre, Igor V. Nikiforov. Detection and localization of an anomaly from noisy projections. International Symposium onInformation Theory, 2004. ISIT 2004, Jun 2004, Chicago, United States. pp.550-550, ⟨10.1109/ISIT.2004.1365587⟩. ⟨hal-02884036⟩
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