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.
A statistical detection of an anomaly/target from noisy tomographic projections
01.01.2003
407713 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Statistical Detection of an Anomaly/Target from Noisy Tomographic Projections
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