DEPENDENCE OF THE RESULTS OF CLASSIFICATION OF MULTISPECTRAL IMAGES OF FOREST VEGETATION ON WAVELET-TRANSFORM PARAMETERS
A. I. Nazmutdinova, V. N. Milich
Physico-Technical Institute, Ural Branch, Russian Academy of Sciences, ul. Kirova 132, Izhevsk, 426000 Russia
Keywords: многозональные изображения, метод классификации, вейвлет-преобразование, значимость признаков, multispectral image classification method, wavelet transform, significance of features
Abstract
The problem of classification of multispectral space images of forest vegetation is considered. Features based on the wavelet transform and a classification method involving consideration of the significance of each feature are investigated. Dependence of the classification results on the wavelet function, the level of transformation, 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.
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