Super-Resolution Imaging Method for Millimeter Wave Synthetic Aperture Interferometric Radiometer

Jianfei CHEN  Xiaowei ZHU  Yuehua LI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.9   pp.2011-2014
Publication Date: 2020/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDL8125
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
millimeter wave,  synthetic aperture,  imaging method,  super-resolution,  reconstruction,  

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Summary: 
Synthetic aperture interferometric radiometer (SAIR) is a powerful sensors for high-resolution imaging. However, because of the observation errors and small number of visibility sampling points, the accuracy of reconstructed images is usually low. To overcome this deficiency, a novel super-resolution imaging (SrI) method based on super-resolution reconstruction idea is proposed in this paper. In SrI method, sparse visibility functions are first measured at different observation locations. Then the sparse visibility functions are utilized to simultaneously construct the fusion visibility function and the fusion imaging model. Finally, the high-resolution image is reconstructed by solving the sparse optimization of fusion imaging model. The simulation results demonstrate that the proposed SrI method has higher reconstruction accuracy and can improve the imaging quality of SAIR effectively.