DEPENDENCE OF THE RESULTS OF CLASSIFICATION OF MULTISPECTRAL IMAGES OF FOREST VEGETATION ON WAVELET-TRANSFORM PARAMETERS
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.