Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint
Ship wake detection stands as a pivotal task in marine environment monitoring. The main challenge in ship wake detection is to improve detection accuracy and mitigate false alarms. To address this challenge, a novel procedure for ship wake detection in a single SAR image is proposed in this study. I...
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| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/18/3487 |
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| author | Yanan Guan Huaping Xu Wei Li Chunsheng Li |
| author_facet | Yanan Guan Huaping Xu Wei Li Chunsheng Li |
| author_sort | Yanan Guan |
| collection | DOAJ |
| description | Ship wake detection stands as a pivotal task in marine environment monitoring. The main challenge in ship wake detection is to improve detection accuracy and mitigate false alarms. To address this challenge, a novel procedure for ship wake detection in a single SAR image is proposed in this study. Initially, an entropy distance similarity criterion is designed to measure nonlocal image patch similarity. Based on the proposed criterion, a low-rank and sparse decomposition method is modified using nonlocal similar patch matrix construction to separate the sparse wake. Subsequently, a field-of-experts (FOE) model is introduced to generate a series of multi-view wake feature maps, which are fused to construct an enhanced feature map. The sparse wake is further enhanced in the Radon domain with the enhanced feature map. The experimental results demonstrate the effectiveness of the proposed method on real SAR ship wake images. |
| format | Article |
| id | doaj-art-034abd907ddc4d7aac7f6e0844d68ccf |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-034abd907ddc4d7aac7f6e0844d68ccf2025-08-20T01:55:49ZengMDPI AGRemote Sensing2072-42922024-09-011618348710.3390/rs16183487Ship Wake Detection in a Single SAR Image via a Modified Low-Rank ConstraintYanan Guan0Huaping Xu1Wei Li2Chunsheng Li3School of Electronics and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100191, ChinaShanghai Institute of Satellite Engineering, Shanghai 200240, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100191, ChinaShip wake detection stands as a pivotal task in marine environment monitoring. The main challenge in ship wake detection is to improve detection accuracy and mitigate false alarms. To address this challenge, a novel procedure for ship wake detection in a single SAR image is proposed in this study. Initially, an entropy distance similarity criterion is designed to measure nonlocal image patch similarity. Based on the proposed criterion, a low-rank and sparse decomposition method is modified using nonlocal similar patch matrix construction to separate the sparse wake. Subsequently, a field-of-experts (FOE) model is introduced to generate a series of multi-view wake feature maps, which are fused to construct an enhanced feature map. The sparse wake is further enhanced in the Radon domain with the enhanced feature map. The experimental results demonstrate the effectiveness of the proposed method on real SAR ship wake images.https://www.mdpi.com/2072-4292/16/18/3487ship wake detectionRadonSAR imagesea clutterlow rankfeature enhancement |
| spellingShingle | Yanan Guan Huaping Xu Wei Li Chunsheng Li Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint Remote Sensing ship wake detection Radon SAR image sea clutter low rank feature enhancement |
| title | Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint |
| title_full | Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint |
| title_fullStr | Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint |
| title_full_unstemmed | Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint |
| title_short | Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint |
| title_sort | ship wake detection in a single sar image via a modified low rank constraint |
| topic | ship wake detection Radon SAR image sea clutter low rank feature enhancement |
| url | https://www.mdpi.com/2072-4292/16/18/3487 |
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