Super-Resolution Imaging Method for Millimeter Wave Synthetic Aperture Interferometric Radiometer
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E103-D No.9 pp.2011-2014
- Publication Date
- 2020/09/01
- Publicized
- 2020/06/12
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2019EDL8125
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Jianfei CHEN
Southeast University,Nanjing Univ. of Science and Technology
Xiaowei ZHU
Southeast University
Yuehua LI
Nanjing Univ. of Science and Technology
Keyword
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Jianfei CHEN, Xiaowei ZHU, Yuehua LI, "Super-Resolution Imaging Method for Millimeter Wave Synthetic Aperture Interferometric Radiometer" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 9, pp. 2011-2014, September 2020, doi: 10.1587/transinf.2019EDL8125.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8125/_p
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@ARTICLE{e103-d_9_2011,
author={Jianfei CHEN, Xiaowei ZHU, Yuehua LI, },
journal={IEICE TRANSACTIONS on Information},
title={Super-Resolution Imaging Method for Millimeter Wave Synthetic Aperture Interferometric Radiometer},
year={2020},
volume={E103-D},
number={9},
pages={2011-2014},
abstract={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.},
keywords={},
doi={10.1587/transinf.2019EDL8125},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - Super-Resolution Imaging Method for Millimeter Wave Synthetic Aperture Interferometric Radiometer
T2 - IEICE TRANSACTIONS on Information
SP - 2011
EP - 2014
AU - Jianfei CHEN
AU - Xiaowei ZHU
AU - Yuehua LI
PY - 2020
DO - 10.1587/transinf.2019EDL8125
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2020
AB - 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.
ER -
English
