A hierarchical approach for the selection of optical ground stations maximizing the data transfer from low-earth observation satellites

Any processing of time-series of data acquired by the same sensor or different sensors, is a fusion process.. The terms merging, combination will be used in a much broader sense

In Section V we present experiments with synthetic data that validate the proposed approach and we also apply our method to real L1A SMOS data and we compare them with results

ABSTRACT: Atmospheric pollution becomes a critical factor of anticipated deaths, which concerns ambient air quality as well as air quality in houses and places of work. For the

Matthias Weigelt, Tonie van Dam Tamara Bandikova, Jakob Flury Nico Sneeuw...

In this paper, we presented a flow-based unified optimization framework for the joint optimization of resource allocation, user scheduling and user association under the optimal

Dans cette étude l’analyse linéaire est effectué a par la méthode spectrale et temporelle et l’analyse non linéaire est effectué par la méthode temporelle

The computation of the real data-rate would be too complicated and beyond the scope of this paper, so we choose to simplify the problem as follows: for any visibility window (s,

In this paper, we consider the problem MaxPDT of finding a network of ground stations maximizing the amount of data transferred from a low-earth satellite satellite to the Earth