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

L. Fillatre, I. Nikiforov
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引用次数: 2

Abstract

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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从噪声层析投影中对异常/目标进行统计检测
从统计的角度解决了从有限数量的噪声层析投影中检测异常/目标的问题。我们研究了一个未知的二维场景,它由一个环境组成,被认为是一个干扰参数集,可能隐藏着一个异常/目标。提出了一种最优统计不变量检验方法来解决这一问题。
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