A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm
In order to resolve the conflict between high pulse repetition frequency (PRF) and wide-swath imaging in multiangle synthetic aperture radar (SAR), a multiangle imaging model combined with multiple-input multiple-output synthetic aperture radar (MIMO-SAR) is proposed. The model utilizes more freedom...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/11015768/ |
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| author | Fang Zhou Zhikuan Jiao Guoqing Shen Mengdao Xing Marina Gashinova |
| author_facet | Fang Zhou Zhikuan Jiao Guoqing Shen Mengdao Xing Marina Gashinova |
| author_sort | Fang Zhou |
| collection | DOAJ |
| description | In order to resolve the conflict between high pulse repetition frequency (PRF) and wide-swath imaging in multiangle synthetic aperture radar (SAR), a multiangle imaging model combined with multiple-input multiple-output synthetic aperture radar (MIMO-SAR) is proposed. The model utilizes more freedom in azimuth degrees provided by MIMO-SAR to remove azimuth ambiguity caused by low PRF, and successfully solves that contradiction. At the same time, considering the problem of low utilization of spectrum in multiangle imaging SAR, an improved range migration algorithm is proposed, which can effectively increase the utilization of the spectrum for data processing. Finally, an improved method of geographic information-scale invariant feature transform is used to achieve the efficiency fusion of multi-angle imaging results. Simulation and real data experiments show that the effectiveness and superiority of the proposed imaging method, and the precision of the proposed fusion method. |
| format | Article |
| id | doaj-art-ff4268c07b9f42f69e9ca2b0eef60b43 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-ff4268c07b9f42f69e9ca2b0eef60b432025-08-20T03:44:53ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118139381394910.1109/JSTARS.2025.357395011015768A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform AlgorithmFang Zhou0https://orcid.org/0000-0003-1030-510XZhikuan Jiao1Guoqing Shen2Mengdao Xing3https://orcid.org/0000-0002-4084-0915Marina Gashinova4https://orcid.org/0000-0002-1190-0050School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, ChinaSchool of Computer Science and Information Engineering, Hefei University of Technology, Hefei, ChinaSchool of Computer Science and Information Engineering, Hefei University of Technology, Hefei, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, ChinaSchool of Engineering, University of Birmingham, Birmingham, U.K.In order to resolve the conflict between high pulse repetition frequency (PRF) and wide-swath imaging in multiangle synthetic aperture radar (SAR), a multiangle imaging model combined with multiple-input multiple-output synthetic aperture radar (MIMO-SAR) is proposed. The model utilizes more freedom in azimuth degrees provided by MIMO-SAR to remove azimuth ambiguity caused by low PRF, and successfully solves that contradiction. At the same time, considering the problem of low utilization of spectrum in multiangle imaging SAR, an improved range migration algorithm is proposed, which can effectively increase the utilization of the spectrum for data processing. Finally, an improved method of geographic information-scale invariant feature transform is used to achieve the efficiency fusion of multi-angle imaging results. Simulation and real data experiments show that the effectiveness and superiority of the proposed imaging method, and the precision of the proposed fusion method.https://ieeexplore.ieee.org/document/11015768/GI-SIFTIRMAMIMO-SARmultiangle (MA) |
| spellingShingle | Fang Zhou Zhikuan Jiao Guoqing Shen Mengdao Xing Marina Gashinova A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing GI-SIFT IRMA MIMO-SAR multiangle (MA) |
| title | A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm |
| title_full | A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm |
| title_fullStr | A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm |
| title_full_unstemmed | A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm |
| title_short | A Multiangle MIMO-SAR Fusion Imaging Method Based on Improved Range Migration Algorithm and Improved Geographic Information Scale Invariant Feature Transform Algorithm |
| title_sort | multiangle mimo sar fusion imaging method based on improved range migration algorithm and improved geographic information scale invariant feature transform algorithm |
| topic | GI-SIFT IRMA MIMO-SAR multiangle (MA) |
| url | https://ieeexplore.ieee.org/document/11015768/ |
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