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
收藏
页码：69 / 74
页数：5
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