Multispectral image-processing with a three-layer backpropagation network

Abstract
The authors report on the use of a three-layer backpropagation neural network to do a pixel-by-pixel classification of a multispectral image of the Earth's surface. Standard techniques are used to specify and train the network; however, the output slab is tailored to present the results of the pixel classification as standard three-color video display. Classification results are presented.

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