Title
APPLYING NEURAL NETWORKS TO URBAN AREA CLASSIFICATION IN SATELLITE IMAGES
Autor
Adam Iwaniak, Małgorzata Krówczyńska, Witold Paluszyński
Keywords
satellite image classification, artificial neural networks
Abstract
This work presents a new approach to satellite image classification process. An artificial neural network has been applied to identification of urban areas mapped in satellite images. The results presented here are based on images obtained from the Landsat satellite using the Thematic Mapper scanner and a land cover map produced under the CORINE Program. The evaluation of the results has been conducted using a point-to-point comparison with a topographic map. The test areas include the metropolitan areas of Warsaw and Cracow.
Pages
5-13
Cite
Iwaniak, A., Krówczyńska, M., Paluszyński, W. (2002). APPLYING NEURAL NETWORKS TO URBAN AREA CLASSIFICATION IN SATELLITE IMAGES. Acta Sci. Pol. Geod. Descr. Terr., 1(1-2), 5-13.
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