Fig. 2From: Deep learning method for super-resolution reconstruction of the spatio-temporal flow fieldThe UNet architecture for SR tasks. The input of the model is a two-channel image consisting of \(P_{t-1}^{HR}\) and \(P_{t}^{inter}\), and the output of the model is the HR image at the current frameBack to article page