TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode
Maritime ship detection is an essential prerequisite for targeting key objectives and safeguarding the security of territorial waters. The all-day and all-weather operational capability of synthetic aperture radar (SAR) makes SAR-based ship detection indispensable for maritime surveillance. Marine s...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10882907/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850040564413628416 |
|---|---|
| author | Chaoyue Liu Yunkai Deng Zhimin Zhang Huaitao Fan Heng Zhang Xiangyang Qi Wei Wang |
| author_facet | Chaoyue Liu Yunkai Deng Zhimin Zhang Huaitao Fan Heng Zhang Xiangyang Qi Wei Wang |
| author_sort | Chaoyue Liu |
| collection | DOAJ |
| description | Maritime ship detection is an essential prerequisite for targeting key objectives and safeguarding the security of territorial waters. The all-day and all-weather operational capability of synthetic aperture radar (SAR) makes SAR-based ship detection indispensable for maritime surveillance. Marine surveillance requires extensive coverage for large-scale searches. But there is a contradiction between high resolution and wide swath, which cannot be taken into account. Most existing marine surveillance modes generally exchange extensive coverage at the expense of spatial resolution. The 2-D detailed information is lost in this way, which is not conducive to target classification. Furthermore, real-time detection becomes a challenge under the constraints of limited on-board conditions. In this article, a novel marine surveillance mode is proposed. It divides the target search task into two parts: wide-area target detection in 2-D asymmetric resolution mode (2-D-ARM) and key target focusing in 2-D high-resolution mode. In the context of 2-D-ARM, the sparsity of the targets and the joint sparse low-rank characteristics of the background are studied, and a low-rank approximation model is developed to accomplish the task of real-time ship detection. The experiments show that the proposed method can realize the sparse target matrix extraction (STME) through matrix decomposition. Using Sentinel-1A, Japanese Advanced Land Observing Satellite (ALOS) PALSAR, and Gaofen3 single-polarization single-look complex data, the 2-D-ARM imaging is simulated, and a dataset is built to verify the processing performance of the proposed method. |
| format | Article |
| id | doaj-art-71fb8ac227174876a56952448733b9f6 |
| institution | DOAJ |
| 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-71fb8ac227174876a56952448733b9f62025-08-20T02:56:03ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01187221723510.1109/JSTARS.2025.354090210882907TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution ModeChaoyue Liu0https://orcid.org/0009-0002-7279-7541Yunkai Deng1Zhimin Zhang2Huaitao Fan3https://orcid.org/0000-0002-8041-5358Heng Zhang4https://orcid.org/0000-0003-3635-5826Xiangyang Qi5Wei Wang6https://orcid.org/0000-0003-4251-3464Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaDepartment of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaMaritime ship detection is an essential prerequisite for targeting key objectives and safeguarding the security of territorial waters. The all-day and all-weather operational capability of synthetic aperture radar (SAR) makes SAR-based ship detection indispensable for maritime surveillance. Marine surveillance requires extensive coverage for large-scale searches. But there is a contradiction between high resolution and wide swath, which cannot be taken into account. Most existing marine surveillance modes generally exchange extensive coverage at the expense of spatial resolution. The 2-D detailed information is lost in this way, which is not conducive to target classification. Furthermore, real-time detection becomes a challenge under the constraints of limited on-board conditions. In this article, a novel marine surveillance mode is proposed. It divides the target search task into two parts: wide-area target detection in 2-D asymmetric resolution mode (2-D-ARM) and key target focusing in 2-D high-resolution mode. In the context of 2-D-ARM, the sparsity of the targets and the joint sparse low-rank characteristics of the background are studied, and a low-rank approximation model is developed to accomplish the task of real-time ship detection. The experiments show that the proposed method can realize the sparse target matrix extraction (STME) through matrix decomposition. Using Sentinel-1A, Japanese Advanced Land Observing Satellite (ALOS) PALSAR, and Gaofen3 single-polarization single-look complex data, the 2-D-ARM imaging is simulated, and a dataset is built to verify the processing performance of the proposed method.https://ieeexplore.ieee.org/document/10882907/Low-rank approximationship detectionsparse target matrix extraction (STME)synthetic aperture radar (SAR)2-D asymmetric resolution mode (2-D-ARM) |
| spellingShingle | Chaoyue Liu Yunkai Deng Zhimin Zhang Huaitao Fan Heng Zhang Xiangyang Qi Wei Wang TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Low-rank approximation ship detection sparse target matrix extraction (STME) synthetic aperture radar (SAR) 2-D asymmetric resolution mode (2-D-ARM) |
| title | TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode |
| title_full | TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode |
| title_fullStr | TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode |
| title_full_unstemmed | TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode |
| title_short | TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode |
| title_sort | tnn stme a matrix decomposition method for sar ship real time detection using 2 d asymmetric resolution mode |
| topic | Low-rank approximation ship detection sparse target matrix extraction (STME) synthetic aperture radar (SAR) 2-D asymmetric resolution mode (2-D-ARM) |
| url | https://ieeexplore.ieee.org/document/10882907/ |
| work_keys_str_mv | AT chaoyueliu tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode AT yunkaideng tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode AT zhiminzhang tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode AT huaitaofan tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode AT hengzhang tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode AT xiangyangqi tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode AT weiwang tnnstmeamatrixdecompositionmethodforsarshiprealtimedetectionusing2dasymmetricresolutionmode |