Classification system in the software of the Earth remote sensing data processing

被引：0

作者：

Asmus V.V. ^{[1
]}

Buchnev A.A. ^{[2
]}

Pyatkin V.P. ^{[2
]}

机构：

[1] Planeta Research and Development Center, Roscomhydromet, Moscow 123242, Bol'shoi Predtechenskii per.

[2] Institute of Computational Mathematics and Mathematical Geophysics (ICMandMG), Siberian Division, Russian Academy of Sciences, Novosibirsk 630090

来源：

Pattern Recognition and Image Analysis | 2009年 / 19卷 / 1期

基金：

俄罗斯基础研究基金会;

关键词：

Decision Rule; Discriminant Function; Digital Image Processing; Software Complex; Mixed Vector;

D O I：

10.1134/S105466180901012X

中图分类号：

学科分类号：

摘要：

Questions concerning the problem of choosing adequate recognition algorithms for Earth, multispectral, remote sensing data are considered. A system of supervised classification based on the strategy of maximum likelihood for normally distributed vectors of attributes is presented. A system of cluster analysis, including an algorithm of K-means and the method of modes analysis for a multidimensional histogram, is described. © 2009 Pleiades Publishing, Ltd.

引用

页码：69 / 74

页数：5

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