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IEEE access : practical research, open solutions, v.8, 2020년, pp.40367 - 40377
Liu, Zhe (University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China) , Wu, Ning (University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China) , Liao, Xingxing
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The diversity and the space-variance of the spectrum-aliasing effects in SAR bring challenges to the available model-driven restoration methods. In this paper, a hybrid data-driven and model-driven deep learning scheme is innovatively proposed to deal with this problem. In this scheme, the SAR image...
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