Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers
Synthetic aperture imaging radiometers (SAIRs) are powerful instruments for high-resolution Earth observation by use of small-aperture antennas sparsely arranged to achieve a large-aperture antenna. High-precision reconstruction algorithm is one of the key contents of SAIRs. Owing to the ill-posed p...
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| Format: | Article |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9173699/ |
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| author | Xiaocheng Yang Zhenyi Yang Jingye Yan Lin Wu Mingfeng Jiang Wentao Lyu |
| author_facet | Xiaocheng Yang Zhenyi Yang Jingye Yan Lin Wu Mingfeng Jiang Wentao Lyu |
| author_sort | Xiaocheng Yang |
| collection | DOAJ |
| description | Synthetic aperture imaging radiometers (SAIRs) are powerful instruments for high-resolution Earth observation by use of small-aperture antennas sparsely arranged to achieve a large-aperture antenna. High-precision reconstruction algorithm is one of the key contents of SAIRs. Owing to the ill-posed problem and band-limited physical characteristic, there is a still large residual error for traditional regularization methods. It should be noted that the prior information like the lower and upper bounds of the brightness temperature distributions has not been utilized in the reconstruction procedure, especially for the open ocean with relatively small brightness temperature difference. In order to reduce the reconstruction error in SAIRs, a reconstruction method based on active set algorithm is presented by solving the least squares problems with lower and upper bounds. The simulation experiment results show that the proposed method can more effectively reduce the reconstruction error and better improve the accuracy of retrieved brightness temperature distributions in SAIRs than the band-limited regularization method, demonstrating the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-d7ecec816914431890556da3bf6c8983 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d7ecec816914431890556da3bf6c89832025-08-20T02:22:15ZengIEEEIEEE Access2169-35362020-01-01815696415697110.1109/ACCESS.2020.30185929173699Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging RadiometersXiaocheng Yang0https://orcid.org/0000-0002-9330-5828Zhenyi Yang1https://orcid.org/0000-0002-8173-9303Jingye Yan2Lin Wu3Mingfeng Jiang4https://orcid.org/0000-0003-3013-4790Wentao Lyu5School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, ChinaSchool of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, ChinaNational Space Science Center, Chinese Academy of Sciences, Beijing, ChinaNational Space Science Center, Chinese Academy of Sciences, Beijing, ChinaSchool of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, ChinaSchool of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, ChinaSynthetic aperture imaging radiometers (SAIRs) are powerful instruments for high-resolution Earth observation by use of small-aperture antennas sparsely arranged to achieve a large-aperture antenna. High-precision reconstruction algorithm is one of the key contents of SAIRs. Owing to the ill-posed problem and band-limited physical characteristic, there is a still large residual error for traditional regularization methods. It should be noted that the prior information like the lower and upper bounds of the brightness temperature distributions has not been utilized in the reconstruction procedure, especially for the open ocean with relatively small brightness temperature difference. In order to reduce the reconstruction error in SAIRs, a reconstruction method based on active set algorithm is presented by solving the least squares problems with lower and upper bounds. The simulation experiment results show that the proposed method can more effectively reduce the reconstruction error and better improve the accuracy of retrieved brightness temperature distributions in SAIRs than the band-limited regularization method, demonstrating the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/9173699/Imaging radiometrysynthetic apertureinverse problemreconstruction error |
| spellingShingle | Xiaocheng Yang Zhenyi Yang Jingye Yan Lin Wu Mingfeng Jiang Wentao Lyu Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers IEEE Access Imaging radiometry synthetic aperture inverse problem reconstruction error |
| title | Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers |
| title_full | Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers |
| title_fullStr | Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers |
| title_full_unstemmed | Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers |
| title_short | Reduction of the Reconstruction Error With Lower and Upper Bounds in Synthetic Aperture Imaging Radiometers |
| title_sort | reduction of the reconstruction error with lower and upper bounds in synthetic aperture imaging radiometers |
| topic | Imaging radiometry synthetic aperture inverse problem reconstruction error |
| url | https://ieeexplore.ieee.org/document/9173699/ |
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