A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement
In general, synthetic aperture radar (SAR) imaging and image processing are two sequential steps in SAR image processing. Due to the large size of SAR images, most image processing algorithms require image segmentation before processing. However, the existence of speckle noise in SAR images, as well...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/12/4133 |
| _version_ | 1811185295048048640 |
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| author | Bing Sun Chuying Fang Hailun Xu Anqi Gao |
| author_facet | Bing Sun Chuying Fang Hailun Xu Anqi Gao |
| author_sort | Bing Sun |
| collection | DOAJ |
| description | In general, synthetic aperture radar (SAR) imaging and image processing are two sequential steps in SAR image processing. Due to the large size of SAR images, most image processing algorithms require image segmentation before processing. However, the existence of speckle noise in SAR images, as well as poor contrast and the uneven distribution of gray values in the same target, make SAR images difficult to segment. In order to facilitate the subsequent processing of SAR images, this paper proposes a new method that combines the back-projection algorithm (BPA) and a first-order gradient operator to enhance the edges of SAR images to overcome image segmentation problems. For complex-valued signals, the gradient operator was applied directly to the imaging process. The experimental results of simulated images and real images validate our proposed method. For the simulated scene, the supervised image segmentation evaluation indexes of our method have more than 1.18%, 11.2% and 11.72% improvement on probabilistic Rand index (PRI), variability index (VI), and global consistency error (GCE). The proposed imaging method will make SAR image segmentation and related applications easier. |
| first_indexed | 2024-04-11T13:27:07Z |
| format | Article |
| id | doaj.art-c08d73df6c7e4530a37f5e1351a5d15b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:27:07Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c08d73df6c7e4530a37f5e1351a5d15b2022-12-22T04:22:00ZengMDPI AGSensors1424-82202018-11-011812413310.3390/s18124133s18124133A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge EnhancementBing Sun0Chuying Fang1Hailun Xu2Anqi Gao3School of Electronics and Information Engineering, Beihang University, Beijing 102200, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 102200, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 102200, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 102200, ChinaIn general, synthetic aperture radar (SAR) imaging and image processing are two sequential steps in SAR image processing. Due to the large size of SAR images, most image processing algorithms require image segmentation before processing. However, the existence of speckle noise in SAR images, as well as poor contrast and the uneven distribution of gray values in the same target, make SAR images difficult to segment. In order to facilitate the subsequent processing of SAR images, this paper proposes a new method that combines the back-projection algorithm (BPA) and a first-order gradient operator to enhance the edges of SAR images to overcome image segmentation problems. For complex-valued signals, the gradient operator was applied directly to the imaging process. The experimental results of simulated images and real images validate our proposed method. For the simulated scene, the supervised image segmentation evaluation indexes of our method have more than 1.18%, 11.2% and 11.72% improvement on probabilistic Rand index (PRI), variability index (VI), and global consistency error (GCE). The proposed imaging method will make SAR image segmentation and related applications easier.https://www.mdpi.com/1424-8220/18/12/4133imagingedge detectionimage segmentationback-projection algorithmdifferential operation |
| spellingShingle | Bing Sun Chuying Fang Hailun Xu Anqi Gao A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement Sensors imaging edge detection image segmentation back-projection algorithm differential operation |
| title | A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement |
| title_full | A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement |
| title_fullStr | A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement |
| title_full_unstemmed | A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement |
| title_short | A New Synthetic Aperture Radar (SAR) Imaging Method Combining Match Filter Imaging and Image Edge Enhancement |
| title_sort | new synthetic aperture radar sar imaging method combining match filter imaging and image edge enhancement |
| topic | imaging edge detection image segmentation back-projection algorithm differential operation |
| url | https://www.mdpi.com/1424-8220/18/12/4133 |
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