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Gabor Filter Applied in Supervised Classification of Remote Sensing Images

This poster describes a technique of classification of remote sensing images using the texture attribute as source of data. The processes of classification/ segmentation are described and the use of Gabor Filters for the supervised classification of such images is proposed here, for the purpose of separating areas of water, vegetation and urban region. The properties of the Fourier spectrum were used in the recognition of the most representative frequencies of each area to separate the classes. The classification of the images was done with the software tools MultiSpec and PRTools.