Dependence of the results of classification of multispectral images of forest vegetation on wavelet-transform parameters


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Abstract

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.

About the authors

A. I. Nazmutdinova

Physico-Technical Institute, Ural Branch

Author for correspondence.
Email: lssm@ftiudm.ru
Russian Federation, ul. Kirova 132, Izhevsk, 426000

V. N. Milich

Physico-Technical Institute, Ural Branch

Email: lssm@ftiudm.ru
Russian Federation, ul. Kirova 132, Izhevsk, 426000

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