Mauricio Pozzobon Martins,  Lamartine N. Frutuoso Guimaraes,  Leila Maria Garcia Fonseca. 

Texture information is useful for image data browsing and retrieval. The goal of this paper is to present a texture classification system for remote sensing images addressed to the administration of great collections of those images. The proposed classifier is a hybrid system composed by an unsupervised neural network and a supervised one. Starting from a small portion of the image (pattern) the system should recognize the most similar class to the pattern in a database as well as to identify the images that contain similar patterns. The texture feature vectors used to characterize the patterns are obtained from the images processed by a bank of Gabor Filters. Some experimental results using textures of the Brodatz album, multi-spectral and radar images have presented here.

http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/10.24.10.41

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