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

被引：0
|
作者：
Fillatre, L [1 ]
Nikiforov, I [1 ]
机构：
[1] Univ Technol Troyes, Lab Modelisat & Surete Syst, F-10010 Troyes, France
来源：
ISPA 2003: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, PTS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：399 / 404
页数：6
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