A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
© Fillatre and Nikiforov 2005
Received: 1 January 2004
Published: 25 August 2005
The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. The GLR test is used to solve the problem. When the projection linearly depends on the nuisance parameters, the GLR test coincides with an optimal statistical invariant test.