THEMATIC CLASSIFICATION OF HYPERSPECTRAL IMAGES USING CONJUGACY INDICATOR

被引：24

作者：

Fursov, V. A. ^{[1
,2
]}

Bibikov, S. A. ^{[1
,2
]}

Bajda, O. A. ^{[2
]}

机构：

[1] Russian Acad Sci, Image Proc Syst Inst, Moscow, Russia

[2] Natl Res Univ, SP Korolyov Samara State Aerosp Univ, Samara, Russia

来源：

COMPUTER OPTICS | 2014年 / 38卷 / 01期

关键词：

hyperspecter imagery; classification; specter angle mapper; conjugacy indicator;

D O I：

10.18287/0134-2452-2014-38-1-154-158

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We consider an algorithm of hyperspectral images thematic classification using conjugacy indicator as a proximity measure. This measure is a generalized spectral angle mapper (SAM) implemented in hyperspectral imagery processing software ENVI. In this case, we use the cosine of an angle between considered vector and subspace, which is spanned by class vectors, instead of the cosine of an angle between considered vector and the mean vector of the class. Paper describes modification of a method based on partitioning of the class into subclasses and based on reduction of vectors to zero mean value. The results of synthetic experiments show higher classification quality than SAM.

引用

页码：154 / 158

页数：5

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