Add to ORKGInternational audienceArtificial 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
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
International audienceThis paper investigates the tolerance of Artificial Neural Networks with respe...
With the increasing complexity of treatments on satellite-borne and the utilisation of highly integr...
International audienceArtificial neural networks have been shown to possess fault tolerant propertie...
Artificial Neural Networks have been shown to possess fault tolerant properties. We present the arch...
The topic of this work, a joint scientific program merging the CEA, the IMAG, the CNES (France) and ...
International audienceIn this paper is described an experiment designed to study the operation under...
International audienceWe study the sensitivity of an Artificial Neural Network designed to classify ...
Traditional reliability approaches introduce relevant costs to achieve unconditional correctness dur...
The Microelectronics and Photonics Testbed (MPTB) carrying twenty-four experiments on-board a scient...
International audienceTwo different approaches, used for the analysis of textures within SPOT images...
ISBN 2-913329-19-5The so-called intelligent control techniques, such as Artificial Neural Networks a...
This work addresses the problem of recovering lost or damaged satellite image pixels (gaps) caused b...
Earth observation through satellite images is crucial to help economic activities as well as to mon...
In this paper we investigate the robustness of Artificial Neural Networks when encountering transien...
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
International audienceThis paper investigates the tolerance of Artificial Neural Networks with respe...
With the increasing complexity of treatments on satellite-borne and the utilisation of highly integr...
International audienceArtificial neural networks have been shown to possess fault tolerant propertie...
Artificial Neural Networks have been shown to possess fault tolerant properties. We present the arch...
The topic of this work, a joint scientific program merging the CEA, the IMAG, the CNES (France) and ...
International audienceIn this paper is described an experiment designed to study the operation under...
International audienceWe study the sensitivity of an Artificial Neural Network designed to classify ...
Traditional reliability approaches introduce relevant costs to achieve unconditional correctness dur...
The Microelectronics and Photonics Testbed (MPTB) carrying twenty-four experiments on-board a scient...
International audienceTwo different approaches, used for the analysis of textures within SPOT images...
ISBN 2-913329-19-5The so-called intelligent control techniques, such as Artificial Neural Networks a...
This work addresses the problem of recovering lost or damaged satellite image pixels (gaps) caused b...
Earth observation through satellite images is crucial to help economic activities as well as to mon...
In this paper we investigate the robustness of Artificial Neural Networks when encountering transien...
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
International audienceThis paper investigates the tolerance of Artificial Neural Networks with respe...
With the increasing complexity of treatments on satellite-borne and the utilisation of highly integr...