Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction
Accurate inversion of high-contrast objects is of great interest to many researchers. In this paper, we reconstruct sparse high-contrast targets perfectly based on the joint sparse reconstruction and the contrast source inversion (CSI). First, the targets number is estimated accurately with the mini...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8726304/ |
| _version_ | 1819276274394202112 |
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| author | Qimeng Fan Chengyou Yin Han Liu |
| author_facet | Qimeng Fan Chengyou Yin Han Liu |
| author_sort | Qimeng Fan |
| collection | DOAJ |
| description | Accurate inversion of high-contrast objects is of great interest to many researchers. In this paper, we reconstruct sparse high-contrast targets perfectly based on the joint sparse reconstruction and the contrast source inversion (CSI). First, the targets number is estimated accurately with the minimum description length (MDL) criterion. Second, with the exact targets number as a priori information, the supports of the targets are perfectly recovered based on the joint-sparse structure of the contrast sources under a multiple measurement vector (MMV) scheme. Finally, the contrast is perfectly reconstructed with the CSI method, in which a priori information about the accurate supports is added. The perfect mask is such strong a priori information that the reconstruction is enforced to locate on the positions of real targets, enormously enhancing the rebuilding quality. Perfect reconstructions of sparse objects with high contrast are demonstrated under various scenarios, showing effectiveness and robustness of the proposed method. Moreover, limitations of the proposed method are discussed, which explains the difference of success rate of accurate reconstruction with different mesh sizes from a physical insight. |
| first_indexed | 2024-12-23T23:37:37Z |
| format | Article |
| id | doaj.art-5fad07b4b3f14e89ab19e9f10c666266 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:37:37Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5fad07b4b3f14e89ab19e9f10c6662662022-12-21T17:25:50ZengIEEEIEEE Access2169-35362019-01-017735047351510.1109/ACCESS.2019.29199628726304Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse ReconstructionQimeng Fan0https://orcid.org/0000-0002-1155-0054Chengyou Yin1Han Liu2College of Electronic Engineering, National University of Defense Technology, Hefei, ChinaCollege of Electronic Engineering, National University of Defense Technology, Hefei, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan, ChinaAccurate inversion of high-contrast objects is of great interest to many researchers. In this paper, we reconstruct sparse high-contrast targets perfectly based on the joint sparse reconstruction and the contrast source inversion (CSI). First, the targets number is estimated accurately with the minimum description length (MDL) criterion. Second, with the exact targets number as a priori information, the supports of the targets are perfectly recovered based on the joint-sparse structure of the contrast sources under a multiple measurement vector (MMV) scheme. Finally, the contrast is perfectly reconstructed with the CSI method, in which a priori information about the accurate supports is added. The perfect mask is such strong a priori information that the reconstruction is enforced to locate on the positions of real targets, enormously enhancing the rebuilding quality. Perfect reconstructions of sparse objects with high contrast are demonstrated under various scenarios, showing effectiveness and robustness of the proposed method. Moreover, limitations of the proposed method are discussed, which explains the difference of success rate of accurate reconstruction with different mesh sizes from a physical insight.https://ieeexplore.ieee.org/document/8726304/Compressive sensingcontrast source inversion (CSI)electromagnetic inverse scatteringjoint sparseperfect mask |
| spellingShingle | Qimeng Fan Chengyou Yin Han Liu Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction IEEE Access Compressive sensing contrast source inversion (CSI) electromagnetic inverse scattering joint sparse perfect mask |
| title | Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction |
| title_full | Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction |
| title_fullStr | Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction |
| title_full_unstemmed | Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction |
| title_short | Accurate Recovery of Sparse Objects With Perfect Mask Based on Joint Sparse Reconstruction |
| title_sort | accurate recovery of sparse objects with perfect mask based on joint sparse reconstruction |
| topic | Compressive sensing contrast source inversion (CSI) electromagnetic inverse scattering joint sparse perfect mask |
| url | https://ieeexplore.ieee.org/document/8726304/ |
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