SSRI-Net: an iterative network for SAR super-resoltion imaging

Z. Wang,Y. Wei, Z. Ding

International Conference on Radar Systems (RADAR 2022)(2022)

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摘要
SAR imaging is a widely used technique to solve the remote sensing problem. However, the image resolution of traditional imaging methods is limited by signal bandwidth. In order to solve this problem, a new iterative network is proposed to obtain SAR super-resolution images, i.e., SAR Super-Resolution Imaging Network (SSRI-Net). The proposed SSRI-Net is designed to implement SAR super-resolution imaging. In SSRI-Net, the SAR echo is transformed to the SAR reconstruction image, while an additional decoder part does the opposite operation. The SSRI-Net is composed of the unfolded Alternating Direction Method of Multipliers (ADMM), and the decoder part is formulated into a linear mapping to achieve self-supervised imaging. Numerical simulation and real-data experiment in microwave anechoic chamber demonstrate the robustness and effectiveness of the proposed method.
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关键词
image resolution,iterative network,remote sensing problem,SAR echo,SAR imaging,SAR reconstruction image,SAR super-resoltion imaging,SAR super-resolution images,SAR Super-Resolution Imaging Network,self-supervised imaging,SSRI-Net,traditional imaging methods
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