The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Le radiomètre interférométrique à synthèse d'ouverture (SAIR) est un capteur puissant pour l'imagerie haute résolution. Cependant, en raison des erreurs d’observation et du petit nombre de points d’échantillonnage de visibilité, la précision des images reconstruites est généralement faible. Pour surmonter cette lacune, une nouvelle méthode d'imagerie super-résolution (SrI) basée sur l'idée de reconstruction en super-résolution est proposée dans cet article. Dans la méthode SrI, les fonctions de visibilité clairsemée sont d'abord mesurées à différents emplacements d'observation. Ensuite, les fonctions de visibilité clairsemée sont utilisées pour construire simultanément la fonction de visibilité de fusion et le modèle d'imagerie de fusion. Enfin, l’image haute résolution est reconstruite en résolvant l’optimisation clairsemée du modèle d’imagerie de fusion. Les résultats de la simulation démontrent que la méthode SrI proposée a une précision de reconstruction plus élevée et peut améliorer efficacement la qualité d’imagerie de SAIR.
Jianfei CHEN
Southeast University,Nanjing Univ. of Science and Technology
Xiaowei ZHU
Southeast University
Yuehua LI
Nanjing Univ. of Science and Technology
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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},}
Copier
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 -