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The basic idea of this paper relies on the concurrent exploitation of the capabilities of neural networks (NNs) and SAR interferometry (InSAR) for the characterization of a seismic source and the estimation of its geometric parameters. When a moderate-to-strong earthquake occurs, we can apply the InSAR technique to compute a differential interferogram. The earthquake is generated by an active seismogenic...
Many algorithms for retrieving geophysical variables are based on optimal estimation approaches, which can be time consuming specially if a large amount of data is to be processed. On its part, neural networks provide results almost in real time, but their use is still not generalised for remote sensing applications. In this work, a set of neural networks was trained with simulations using numerical...
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