Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer
The brightness temperature reconstruction of synthetic aperture interferometric radiometers (SAIRs) is an underdetermined and ill-posed inverse problem. The classical Hilbert-space regularization methods have often the disadvantages of the oversmoothness effects and the oscillations. In this article...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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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/9762541/ |
| _version_ | 1811305617536581632 |
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| author | Xiaocheng Yang Chaodong Lu Jingye Yan Lin Wu Mingfeng Jiang Lin Li |
| author_facet | Xiaocheng Yang Chaodong Lu Jingye Yan Lin Wu Mingfeng Jiang Lin Li |
| author_sort | Xiaocheng Yang |
| collection | DOAJ |
| description | The brightness temperature reconstruction of synthetic aperture interferometric radiometers (SAIRs) is an underdetermined and ill-posed inverse problem. The classical Hilbert-space regularization methods have often the disadvantages of the oversmoothness effects and the oscillations. In this article, an adaptive <italic>L<sup>p</sup></italic> reconstruction method in Lebesgue spaces is introduced to obtain the accurate brightness temperature map in SAIRs. The proposed approach can adaptively adjust the exponent <italic>p</italic> between 1.2 and 2 according to the region of the map to be reconstructed. The experimental results show that the <italic>L<sup>p</sup></italic> reconstruction method can effectively reduce oversmoothness and Gibbs oscillations, and better improve the accuracy of the inverse results, compared to the traditional minimum-norm and band-limited regularization methods. |
| first_indexed | 2024-04-13T08:29:39Z |
| format | Article |
| id | doaj.art-02b7ed87408c47eda803d9048be75bee |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-13T08:29:39Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-02b7ed87408c47eda803d9048be75bee2022-12-22T02:54:18ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-01153282329110.1109/JSTARS.2022.31698229762541Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric RadiometerXiaocheng Yang0https://orcid.org/0000-0002-9330-5828Chaodong Lu1https://orcid.org/0000-0002-5838-0048Jingye Yan2Lin Wu3Mingfeng Jiang4https://orcid.org/0000-0003-3013-4790Lin Li5School 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, ChinaThe brightness temperature reconstruction of synthetic aperture interferometric radiometers (SAIRs) is an underdetermined and ill-posed inverse problem. The classical Hilbert-space regularization methods have often the disadvantages of the oversmoothness effects and the oscillations. In this article, an adaptive <italic>L<sup>p</sup></italic> reconstruction method in Lebesgue spaces is introduced to obtain the accurate brightness temperature map in SAIRs. The proposed approach can adaptively adjust the exponent <italic>p</italic> between 1.2 and 2 according to the region of the map to be reconstructed. The experimental results show that the <italic>L<sup>p</sup></italic> reconstruction method can effectively reduce oversmoothness and Gibbs oscillations, and better improve the accuracy of the inverse results, compared to the traditional minimum-norm and band-limited regularization methods.https://ieeexplore.ieee.org/document/9762541/Interferometric radiometerinverse problemreconstruction methodsynthetic aperture |
| spellingShingle | Xiaocheng Yang Chaodong Lu Jingye Yan Lin Wu Mingfeng Jiang Lin Li Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Interferometric radiometer inverse problem reconstruction method synthetic aperture |
| title | Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer |
| title_full | Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer |
| title_fullStr | Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer |
| title_full_unstemmed | Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer |
| title_short | Adaptive <italic>L <sup>p</sup></italic> Reconstruction Method for Synthetic Aperture Interferometric Radiometer |
| title_sort | adaptive italic l x200a sup p sup italic reconstruction method for synthetic aperture interferometric radiometer |
| topic | Interferometric radiometer inverse problem reconstruction method synthetic aperture |
| url | https://ieeexplore.ieee.org/document/9762541/ |
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