Abstract
The paper describes the possibilities of using selected methods of texture analysis - Grey Level Co-occurrence Matrix (GLCM) and granulometry analysis - to isolate different classes of urban areas in the process of semi-automatic classification. To evaluate the effectiveness of each method the Jeffries-Matusita Distance method was applied. The study was conducted on the SPOT5 HRG (pixel 10m resolution) images. The research shows the high efficiency of the Haralick Correlation (one of GLCM features) method and granulometric analysis, in particular using its multiscaling.
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