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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 52, 2020 Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v35.i9.50
7 pages

Specific Features of Optimization of Two-Alternative Decisions in Joint Search and Detection of Objects

Gennadiy V. Hudov
Kharkov Military College

Краткое описание

Main results of efficiency assessment of joint search and detection of objects are analyzed. In view of differential characteristics of Bayesian criterion of minimum of mean risk we formulate a weight criterion of optimality of detection in elementary cell of search zone. The weight criterion of optimality of object detection under simultaneous optimization of search and detection in the instant zone of vision is improved. An expression for the likelihood ratio in the instant visual field is obtained. An improved deciding rule of making a two-alternative decision in joint search and detection of objects is formulated.


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