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Artificial neural networks for classification of remote sensing data


Quarterly Journal of the Experimental Forest of National Taiwan University 11(3): 79-89
Artificial neural networks for classification of remote sensing data
Artificial neural networks were used for the classification of remote sensing data for an agricultural area in northern Colorado, which included rangeland, field crops and bare soil. Two Landsat images obtained on 30 May and 3 September, 1993, were used in the study. The feed-forward neural network paradigm was implemented to classify 11 land cover types.

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Accession: 003046637



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