Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm
An improved Synthetic Aperture Radar (SAR) imaging algorithm is proposed to address the issues of low azimuth resolution and noise interference in the sparse sampling condition. Based on the existing L1/2 regularization theory and iterative threshold algorithm, the gradient operator is modified, whi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2023-10-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR22243 |
| _version_ | 1827762980408786944 |
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| author | Zhiqi GAO Shuchen SUN Pingping HUANG Yaolong QI Wei XU |
| author_facet | Zhiqi GAO Shuchen SUN Pingping HUANG Yaolong QI Wei XU |
| author_sort | Zhiqi GAO |
| collection | DOAJ |
| description | An improved Synthetic Aperture Radar (SAR) imaging algorithm is proposed to address the issues of low azimuth resolution and noise interference in the sparse sampling condition. Based on the existing L1/2 regularization theory and iterative threshold algorithm, the gradient operator is modified, which can improve the solution accuracy of the reconstructed image and reduce the load of calculation. Then, under full sampling and under-sampling conditions, the original and improved L1/2 iterative threshold algorithm are combined with the approximate observation model to image SAR echo signals and compare their imaging performance. The experimental findings demonstrate that the improved algorithm improves the azimuth resolution of SAR images and has higher convergence performance. |
| first_indexed | 2024-03-11T10:44:43Z |
| format | Article |
| id | doaj.art-2a8c07a7d7a547569672f3c67090996d |
| institution | Directory Open Access Journal |
| issn | 2095-283X |
| language | English |
| last_indexed | 2024-03-11T10:44:43Z |
| publishDate | 2023-10-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-2a8c07a7d7a547569672f3c67090996d2023-11-14T06:01:21ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2023-10-011251044105510.12000/JR22243R22243Improved L1/2 Threshold Iterative High Resolution SAR Imaging AlgorithmZhiqi GAO0Shuchen SUN1Pingping HUANG2Yaolong QI3Wei XU4College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, ChinaAn improved Synthetic Aperture Radar (SAR) imaging algorithm is proposed to address the issues of low azimuth resolution and noise interference in the sparse sampling condition. Based on the existing L1/2 regularization theory and iterative threshold algorithm, the gradient operator is modified, which can improve the solution accuracy of the reconstructed image and reduce the load of calculation. Then, under full sampling and under-sampling conditions, the original and improved L1/2 iterative threshold algorithm are combined with the approximate observation model to image SAR echo signals and compare their imaging performance. The experimental findings demonstrate that the improved algorithm improves the azimuth resolution of SAR images and has higher convergence performance.https://radars.ac.cn/cn/article/doi/10.12000/JR22243synthetic aperture radar (sar)approximate observation modelcompressed sensingl1/2 regularization theory |
| spellingShingle | Zhiqi GAO Shuchen SUN Pingping HUANG Yaolong QI Wei XU Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm Leida xuebao synthetic aperture radar (sar) approximate observation model compressed sensing l1/2 regularization theory |
| title | Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm |
| title_full | Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm |
| title_fullStr | Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm |
| title_full_unstemmed | Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm |
| title_short | Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm |
| title_sort | improved l1 2 threshold iterative high resolution sar imaging algorithm |
| topic | synthetic aperture radar (sar) approximate observation model compressed sensing l1/2 regularization theory |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR22243 |
| work_keys_str_mv | AT zhiqigao improvedl12thresholditerativehighresolutionsarimagingalgorithm AT shuchensun improvedl12thresholditerativehighresolutionsarimagingalgorithm AT pingpinghuang improvedl12thresholditerativehighresolutionsarimagingalgorithm AT yaolongqi improvedl12thresholditerativehighresolutionsarimagingalgorithm AT weixu improvedl12thresholditerativehighresolutionsarimagingalgorithm |