Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence
For a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry reconstruction methods become invalid as the projection vectors cannot be formed without accurate target rotational parameters. To tackle this problem, we present a new technique for 3D geometry reconstruction by us...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/5/1144 |
| _version_ | 1797473953073070080 |
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| author | Zuobang Zhou Lei Liu Rongzhen Du Feng Zhou |
| author_facet | Zuobang Zhou Lei Liu Rongzhen Du Feng Zhou |
| author_sort | Zuobang Zhou |
| collection | DOAJ |
| description | For a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry reconstruction methods become invalid as the projection vectors cannot be formed without accurate target rotational parameters. To tackle this problem, we present a new technique for 3D geometry reconstruction by using inverse synthetic aperture radar (ISAR) image sequence energy accumulation (ISEA). Firstly, by constituting the motion model of SRST, an explicit expression is derived to describe the relative geometric relationship between the 3D geometry and ISAR image sequence. Then accurate rotational parameters and the 3D geometry of SRST can be estimated by combining the idea of the ISEA method and quantum-behaved particle swarm optimization (QPSO). Compared with the ISEA method, which can be only applied to triaxial stabilized space targets, the proposed method can achieve 3D geometry reconstruction of SRST. Experimental results based on the simulated point model and simulated electromagnetic computer aided design (CAD) model validate the effectiveness and robustness of the proposed method. |
| first_indexed | 2024-03-09T20:23:29Z |
| format | Article |
| id | doaj.art-9d6b7ffc1bfc461c83fd13ee3b4d332d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T20:23:29Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9d6b7ffc1bfc461c83fd13ee3b4d332d2023-11-23T23:42:07ZengMDPI AGRemote Sensing2072-42922022-02-01145114410.3390/rs14051144Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image SequenceZuobang Zhou0Lei Liu1Rongzhen Du2Feng Zhou3Key Laboratory of Electronic Information Countermeasure and Simulation Technology of the Education Ministry of China, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology of the Education Ministry of China, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology of the Education Ministry of China, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology of the Education Ministry of China, Xidian University, Xi’an 710071, ChinaFor a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry reconstruction methods become invalid as the projection vectors cannot be formed without accurate target rotational parameters. To tackle this problem, we present a new technique for 3D geometry reconstruction by using inverse synthetic aperture radar (ISAR) image sequence energy accumulation (ISEA). Firstly, by constituting the motion model of SRST, an explicit expression is derived to describe the relative geometric relationship between the 3D geometry and ISAR image sequence. Then accurate rotational parameters and the 3D geometry of SRST can be estimated by combining the idea of the ISEA method and quantum-behaved particle swarm optimization (QPSO). Compared with the ISEA method, which can be only applied to triaxial stabilized space targets, the proposed method can achieve 3D geometry reconstruction of SRST. Experimental results based on the simulated point model and simulated electromagnetic computer aided design (CAD) model validate the effectiveness and robustness of the proposed method.https://www.mdpi.com/2072-4292/14/5/1144slowly rotating space targetsthree-dimensional geometry reconstructioninverse synthetic aperture radar image sequencequantum-behaved particle swarm optimization |
| spellingShingle | Zuobang Zhou Lei Liu Rongzhen Du Feng Zhou Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence Remote Sensing slowly rotating space targets three-dimensional geometry reconstruction inverse synthetic aperture radar image sequence quantum-behaved particle swarm optimization |
| title | Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence |
| title_full | Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence |
| title_fullStr | Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence |
| title_full_unstemmed | Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence |
| title_short | Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence |
| title_sort | three dimensional geometry reconstruction method for slowly rotating space targets utilizing isar image sequence |
| topic | slowly rotating space targets three-dimensional geometry reconstruction inverse synthetic aperture radar image sequence quantum-behaved particle swarm optimization |
| url | https://www.mdpi.com/2072-4292/14/5/1144 |
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