SAR Images Enhancement Via Deep Multi-Scale Encoder-Decoder Neural Network
Xiaqing Yang, Yuanyuan Zhou, Chen Wang, Jun Shi · 2019
In this paper, we propose to apply a deep multi-scale encoder-decoder neural network (MsEN-Net) for SAR images enhancement method based on scale-recurrent network (SRN), which consists of encoder and decoder modules trained by the coarse to fine strategy. Simulation with fixed speed errors and experiments with real data are implemented and evaluated by peak signal to noise ratio and structural similarity. Experimental results with both visual and quantitative analysis demonstrate the competitive performance of our proposed method.