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Artificial neural network robustness for on-board satellite image processing: results of upset simulations and ground tests

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5 Author(s)
Velazco, R. ; Lab. Logiciels, Syst., Reseaux, IMAG, Grenoble, France ; Cheynet, Ph. ; Muller, J.D. ; Ecoffet, R.
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Artificial Neural Networks have been shown to possess fault tolerant properties. We present the architecture of a neural network designed to process satellite images (SPOT photos). Computer simulations and ground tests performed on a digital implementation of this neural network prove its robustness with respect to bit errors

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Nuclear Science, IEEE Transactions on  (Volume:44 ,  Issue: 6 )