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- W2116780097 abstract "This paper describes an experimental comparison which has been made between two alternative methods of image classification: one based on a neural network and the other on a rule-based expert system. Both methods were applied to the same image data. The results show that both methods give useful performance improvements in comparison with more traditional parametric classifiers. It was also found that the performance level attained by the two approaches was approximately the same. The neural network was, however, faster to develop although the expert system was much more transparent and easier for a user to understand. considerable amount of cereal production, although there are also some extensive areas of forestrv and some small lakes." @default.
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- W2116780097 date "2005-08-24" @default.
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- W2116780097 title "A Comparison Of Neural Network And Expert System Methods For Analysis Of Remotely-sensed Imagery" @default.
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- W2116780097 doi "https://doi.org/10.1109/igarss.1992.576627" @default.
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