Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target
In the long-distance space target detection, the technique of laser reflection tomography (LRT) shows great power and attracts more attention for further study and real use. However, space targets are often non-cooperative, and normally a 360° complete view of reflection projections cannot be obtain...
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| Format: | Article |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/14/3310 |
| _version_ | 1797433142334717952 |
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| author | Rui Guo Zheyi Jiang Zhihan Jin Zhao Zhang Xinyuan Zhang Liang Guo Yihua Hu |
| author_facet | Rui Guo Zheyi Jiang Zhihan Jin Zhao Zhang Xinyuan Zhang Liang Guo Yihua Hu |
| author_sort | Rui Guo |
| collection | DOAJ |
| description | In the long-distance space target detection, the technique of laser reflection tomography (LRT) shows great power and attracts more attention for further study and real use. However, space targets are often non-cooperative, and normally a 360° complete view of reflection projections cannot be obtained. Therefore, this article firstly introduces an improved LRT system design with more advanced laser equipment for long-distance non-cooperative detection to ensure the high quality of the lidar beam and the lidar projection data. Then, the LRT image reconstruction is proposed and focused on the laser image reconstruction method utilizing the total variation (TV) minimization approach based on the sparse algebraic reconstruction technique (ART) model, in order to reconstruct the laser image in a sparse or incomplete view of projections. At last, comparative experiments with the system are performed to validate the advantages of this method with the LRT system. In both near and far field experiments, the effectiveness and superiority of the proposed method are verified for different types of projection data through comparison to typical methods. |
| first_indexed | 2024-03-09T10:12:54Z |
| format | Article |
| id | doaj.art-d8984abbd8d74ebb838835f5e5af6718 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T10:12:54Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d8984abbd8d74ebb838835f5e5af67182023-12-01T22:38:38ZengMDPI AGRemote Sensing2072-42922022-07-011414331010.3390/rs14143310Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative TargetRui Guo0Zheyi Jiang1Zhihan Jin2Zhao Zhang3Xinyuan Zhang4Liang Guo5Yihua Hu6School of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaState Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037, ChinaSchool of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, ChinaState Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037, ChinaIn the long-distance space target detection, the technique of laser reflection tomography (LRT) shows great power and attracts more attention for further study and real use. However, space targets are often non-cooperative, and normally a 360° complete view of reflection projections cannot be obtained. Therefore, this article firstly introduces an improved LRT system design with more advanced laser equipment for long-distance non-cooperative detection to ensure the high quality of the lidar beam and the lidar projection data. Then, the LRT image reconstruction is proposed and focused on the laser image reconstruction method utilizing the total variation (TV) minimization approach based on the sparse algebraic reconstruction technique (ART) model, in order to reconstruct the laser image in a sparse or incomplete view of projections. At last, comparative experiments with the system are performed to validate the advantages of this method with the LRT system. In both near and far field experiments, the effectiveness and superiority of the proposed method are verified for different types of projection data through comparison to typical methods.https://www.mdpi.com/2072-4292/14/14/3310laser reflection tomography (LRT)non-cooperative targetalgebraic reconstruction technique (ART)total variation (TV) |
| spellingShingle | Rui Guo Zheyi Jiang Zhihan Jin Zhao Zhang Xinyuan Zhang Liang Guo Yihua Hu Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target Remote Sensing laser reflection tomography (LRT) non-cooperative target algebraic reconstruction technique (ART) total variation (TV) |
| title | Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target |
| title_full | Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target |
| title_fullStr | Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target |
| title_full_unstemmed | Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target |
| title_short | Reflective Tomography Lidar Image Reconstruction for Long Distance Non-Cooperative Target |
| title_sort | reflective tomography lidar image reconstruction for long distance non cooperative target |
| topic | laser reflection tomography (LRT) non-cooperative target algebraic reconstruction technique (ART) total variation (TV) |
| url | https://www.mdpi.com/2072-4292/14/14/3310 |
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