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Aplicação dos Filtros Gabor na Classificação Supervisionada de Imagens de Sensoriamento Remoto

Ana Carolina Nicolosi da Rocha GraciosoAna Cláudia ParisFábio Fernando da SilvaRenata de Freitas GóesAdilson Gonzaga

This work describes a technique of classification of remote sensing images using the texture attributeas source of data. The processes of classification/segmentation are described and the use of GaborFilters for the supervised classification of such images is proposed here, for the purpose of separating areas of water, vegetation and urban region. For an image characteristic extraction was chosen an spectrum approach, which try to identify a periodicity in the image, through an identification of peaks of high energy in the spectrum, what may be get with the Fourier Transform application. Thus, the properties of the Fourier spectrum were used in the recognition of the most representative frequencies of each area to separate the classes. Some routines to identify the frequencies were developed in Matlab and the classification of the images was done with the software tools MultiSpec and PRTools.

http://www.lbd.dcc.ufmg.br/colecoes/wvc/2005/0039.pdf

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