Modern Synthetic Aperture Radar (SAR) missions provide an unprecedented massive interferometric SAR (InSAR) time series. The processing of the Big InSAR Data is challenging for long term monitoring.

Applying sliding mode variable structure control to train neural networks is proposed in this paper, which can not only increases learning rate but also improves the stability of neural-network.