Artificial neural network robustness for on-board satellite image processing : results of SEU simulations and ground tests
Résumé
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). Soft simulations and ground tests performed on a digital implementation of this neural network prove its robustness with respect to bit errors.
