HIGHLIGHTS
- who: Firstname Lastname et al. from the INRIA Bretagne-Atlantique, SIMSMART, Rennes, France have published the research work: Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature, in the Journal: (JOURNAL)
- what: The key features of this approach are two-fold: (i) the authors propose a novel architecture for the stochastic representation of two dimensional (2D) geophysical dynamics based on a neural networks (ii) the authors derive the associated parametric Kalman-like filtering scheme for a computationally-efficient spatio-temporal interpolation of Sea Surface Temperature (SST) fields. Fine . . .
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