Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer
The inverse problem of synthetic aperture interferometric radiometers (SAIRs) aims at retrieving the brightness temperature map from the visibility function samples. To efficiently obtain an accurate solution, an accelerated iterative regularization technique is proposed to reconstruct the SAIR brig...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10124977/ |
| _version_ | 1827940650059825152 |
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| author | Xiaocheng Yang Chaodong Lu Jingye Yan Lin Wu Feng Liu Mingfeng Jiang |
| author_facet | Xiaocheng Yang Chaodong Lu Jingye Yan Lin Wu Feng Liu Mingfeng Jiang |
| author_sort | Xiaocheng Yang |
| collection | DOAJ |
| description | The inverse problem of synthetic aperture interferometric radiometers (SAIRs) aims at retrieving the brightness temperature map from the visibility function samples. To efficiently obtain an accurate solution, an accelerated iterative regularization technique is proposed to reconstruct the SAIR brightness temperature map. The acceleration technique modifies the conventional least square function using a negative penalty term to speed up the initial iterations. A series of decreasing coefficients must be tuned to prevent noise amplification in subsequent iterations. Several numerical experiments were performed on one-dimensional (1-D) and (2-D) SAIR systems. The experiment results indicate that the accelerated Landweber method reduces the number of iteration steps by more than 50% and effectively improves the computational speed without reducing the reconstruction accuracy compared to the conventional Landweber method. |
| first_indexed | 2024-03-13T09:12:38Z |
| format | Article |
| id | doaj.art-e122135084ea45feb32dbf3b249ffadf |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-13T09:12:38Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-e122135084ea45feb32dbf3b249ffadf2023-05-26T23:00:25ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01164649465710.1109/JSTARS.2023.327669810124977Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric RadiometerXiaocheng Yang0https://orcid.org/0000-0002-9330-5828Chaodong Lu1https://orcid.org/0000-0002-5838-0048Jingye Yan2Lin Wu3Feng Liu4https://orcid.org/0000-0002-1074-2601Mingfeng Jiang5https://orcid.org/0000-0003-3013-4790School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, ChinaSchool of Computer 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 Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, AustraliaSchool of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, ChinaThe inverse problem of synthetic aperture interferometric radiometers (SAIRs) aims at retrieving the brightness temperature map from the visibility function samples. To efficiently obtain an accurate solution, an accelerated iterative regularization technique is proposed to reconstruct the SAIR brightness temperature map. The acceleration technique modifies the conventional least square function using a negative penalty term to speed up the initial iterations. A series of decreasing coefficients must be tuned to prevent noise amplification in subsequent iterations. Several numerical experiments were performed on one-dimensional (1-D) and (2-D) SAIR systems. The experiment results indicate that the accelerated Landweber method reduces the number of iteration steps by more than 50% and effectively improves the computational speed without reducing the reconstruction accuracy compared to the conventional Landweber method.https://ieeexplore.ieee.org/document/10124977/Convergenceinterferometric radiometryinverse problemiterative regularizationsynthetic aperture |
| spellingShingle | Xiaocheng Yang Chaodong Lu Jingye Yan Lin Wu Feng Liu Mingfeng Jiang Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Convergence interferometric radiometry inverse problem iterative regularization synthetic aperture |
| title | Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer |
| title_full | Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer |
| title_fullStr | Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer |
| title_full_unstemmed | Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer |
| title_short | Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer |
| title_sort | iterative regularization using an acceleration technique for synthetic aperture interferometric radiometer |
| topic | Convergence interferometric radiometry inverse problem iterative regularization synthetic aperture |
| url | https://ieeexplore.ieee.org/document/10124977/ |
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