Dependence of the results of classification of multispectral images of forest vegetation on wavelet-transform parameters
- Authors: Nazmutdinova A.I.1, Milich V.N.1
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Affiliations:
- Physico-Technical Institute, Ural Branch
- Issue: Vol 52, No 3 (2016)
- Pages: 231-237
- Section: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/211951
- DOI: https://doi.org/10.3103/S8756699016030031
- ID: 211951
Cite item
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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