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Recent breakthroughs in algorithms related to deep convolutional neural networks (DCNN) have stimulated the development of various of signal processing approaches, where the specific application of Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) data has spurred widely attention. Inspired by the more efficient distributed training such as inception architecture and residual network, a new feature fusion structure which jointly exploits all the merits of each version isdoi:10.1051/itmconf/20171205001 fatcat:3dgx3yrtg5fjzaeyonoisvvz2q