Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation
With traditional three-dimensional (3-D) reconstruction methods for space targets, it is difficult to achieve 3-D structure and attitude reconstruction simultaneously. To tackle this problem, a 3-D reconstruction method for space targets is proposed, and the alignment and fusion of optical and ISAR...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/287 |
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| author | Wanting Zhou Lei Liu Rongzhen Du Ze Wang Ronghua Shang Feng Zhou |
| author_facet | Wanting Zhou Lei Liu Rongzhen Du Ze Wang Ronghua Shang Feng Zhou |
| author_sort | Wanting Zhou |
| collection | DOAJ |
| description | With traditional three-dimensional (3-D) reconstruction methods for space targets, it is difficult to achieve 3-D structure and attitude reconstruction simultaneously. To tackle this problem, a 3-D reconstruction method for space targets is proposed, and the alignment and fusion of optical and ISAR images are investigated. Firstly, multiple pairs of optical and ISAR images are acquired in the joint optical-and-ISAR co-location observation system (COS). Then, key points of space targets on the images are used to solve for the Doppler information and the 3-D attitude. Meanwhile, the image offsets of each pair are further aligned based on Doppler co-projection between optical and ISAR images. The 3-D rotational offset relationship and the 3-D translational offset relationship are next deduced to align the spatial offset between pairs of images based on attitude changes in neighboring frames. Finally, a voxel trimming mechanism based on growth learning (VTM-GL) is designed to obtain the reserved voxels where mask features are used. Experimental results verify the effectiveness and robustness of the OC-V3R-OI method. |
| format | Article |
| id | doaj-art-5e01401047c64c0585d8cd35a511183d |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-5e01401047c64c0585d8cd35a511183d2025-01-24T13:48:00ZengMDPI AGRemote Sensing2072-42922025-01-0117228710.3390/rs17020287Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location ObservationWanting Zhou0Lei Liu1Rongzhen Du2Ze Wang3Ronghua Shang4Feng Zhou5Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, ChinaKey Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, ChinaWith traditional three-dimensional (3-D) reconstruction methods for space targets, it is difficult to achieve 3-D structure and attitude reconstruction simultaneously. To tackle this problem, a 3-D reconstruction method for space targets is proposed, and the alignment and fusion of optical and ISAR images are investigated. Firstly, multiple pairs of optical and ISAR images are acquired in the joint optical-and-ISAR co-location observation system (COS). Then, key points of space targets on the images are used to solve for the Doppler information and the 3-D attitude. Meanwhile, the image offsets of each pair are further aligned based on Doppler co-projection between optical and ISAR images. The 3-D rotational offset relationship and the 3-D translational offset relationship are next deduced to align the spatial offset between pairs of images based on attitude changes in neighboring frames. Finally, a voxel trimming mechanism based on growth learning (VTM-GL) is designed to obtain the reserved voxels where mask features are used. Experimental results verify the effectiveness and robustness of the OC-V3R-OI method.https://www.mdpi.com/2072-4292/17/2/287three-dimensional (3-D) structure and attitude reconstructionoptical and ISAR image fusionimage offsetsspatial offsetsvoxel trimming mechanism based on growth learning (VTM-GL) |
| spellingShingle | Wanting Zhou Lei Liu Rongzhen Du Ze Wang Ronghua Shang Feng Zhou Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation Remote Sensing three-dimensional (3-D) structure and attitude reconstruction optical and ISAR image fusion image offsets spatial offsets voxel trimming mechanism based on growth learning (VTM-GL) |
| title | Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation |
| title_full | Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation |
| title_fullStr | Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation |
| title_full_unstemmed | Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation |
| title_short | Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation |
| title_sort | three dimensional reconstruction of space targets utilizing joint optical and isar co location observation |
| topic | three-dimensional (3-D) structure and attitude reconstruction optical and ISAR image fusion image offsets spatial offsets voxel trimming mechanism based on growth learning (VTM-GL) |
| url | https://www.mdpi.com/2072-4292/17/2/287 |
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