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自动化与信息科学期刊
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

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

自动化与信息科学期刊

DOI: 10.1615/J Automat Inf Scien.v39.i1.50
pages 48-55

Methodology of Accuracy Assessment of Classification of Objects on Space Images

Mikhail A. Popov
Research Center of Aerospace Research of the Earth of the Institute of Geological Sciences of National Academy of Sciences of Ukraine, Kiev, Ukraine

ABSTRACT

The main aspects of improving the methodology of accuracy assessment of information received from space images are considered. The accuracy assessment criteria of classification of objects on the space images are discussed. Two statistic models for determining an examination sample size — binomial and polynomial are described. The influence of identification degree of pixels and geometry of examination site on classification accuracy is quantitatively evaluated. The particularities of accuracy assessment for classification of hyperspectral images are considered.


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