Dependence of the Results of Classification of Multispectral Images of Forest Vegetation on Wavelet-Transform Parameters

被引：2

作者：

Nazmutdinova, A. I. ^{[1
]}

Milich, V. N. ^{[1
]}

机构：

[1] Russian Acad Sci, Physicotech Inst, Ural Branch, Ul Kirova 132, Izhevsk 426000, Russia

来源：

OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2016年 / 52卷 / 03期

关键词：

multispectral images; classification method; wavelet transform; feature importance;

D O I：

10.3103/S8756699016030031

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The problem of classification of space multispectral images of forest vegetation is considered. Features based on the wavelet transform and a classification method involving consideration of the importance of each feature are investigated. Dependence of the classification results on the wavelet function, the level of the transform, and the parameter of the classification method - the number of segments of the range of features - is given. Results of classification of multispectral images of six classes of forest vegetation in images obtained by a Rapid Eye shooting system are presented.

引用

页码：231 / 237

页数：7

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