An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution
Side-scan sonar (SSS) is an important underwater imaging method that has high resolutions and is convenient to use. However, due to the restriction of conventional pulse compression technology, the side-scan sonar beam sidelobe in the range direction is relatively high, which affects the definition...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/20/4908 |
| _version_ | 1797572396827279360 |
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| author | Jia Liu Yan Pang Lengleng Yan Hanhao Zhu |
| author_facet | Jia Liu Yan Pang Lengleng Yan Hanhao Zhu |
| author_sort | Jia Liu |
| collection | DOAJ |
| description | Side-scan sonar (SSS) is an important underwater imaging method that has high resolutions and is convenient to use. However, due to the restriction of conventional pulse compression technology, the side-scan sonar beam sidelobe in the range direction is relatively high, which affects the definition and contrast of images. When working in a shallow-water environment, image quality is especially influenced by strong bottom reverberation or other targets on the seabed. To solve this problem, a method for image-quality improvement based on deconvolution is proposed herein. In this method, to increase the range resolution and lower the sidelobe, a deconvolution algorithm is employed to improve the conventional pulse compression. In our simulation, the tolerance of the algorithm to different signal-to-noise ratios (SNRs) and the resolution ability of multi-target conditions were analyzed. Furthermore, the proposed method was applied to actual underwater data. The experimental results showed that the quality of underwater acoustic imaging could be effectively improved. The ratios of improvement for the SNR and contrast ratio (CR) were 32 and 12.5%, respectively. The target segmentation results based on this method are also shown. The accuracy of segmentation was effectively improved. |
| first_indexed | 2024-03-10T20:55:39Z |
| format | Article |
| id | doaj.art-65a2f2d9037b476aad702c9caae3ce6c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T20:55:39Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-65a2f2d9037b476aad702c9caae3ce6c2023-11-19T17:58:06ZengMDPI AGRemote Sensing2072-42922023-10-011520490810.3390/rs15204908An Image Quality Improvement Method in Side-Scan Sonar Based on DeconvolutionJia Liu0Yan Pang1Lengleng Yan2Hanhao Zhu3Ocean Acoustic Technology Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, ChinaQingdao Branch of Institute of Acoustics, Chinese Academy of Sciences, Qingdao 266114, ChinaMarine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, ChinaMarine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, ChinaSide-scan sonar (SSS) is an important underwater imaging method that has high resolutions and is convenient to use. However, due to the restriction of conventional pulse compression technology, the side-scan sonar beam sidelobe in the range direction is relatively high, which affects the definition and contrast of images. When working in a shallow-water environment, image quality is especially influenced by strong bottom reverberation or other targets on the seabed. To solve this problem, a method for image-quality improvement based on deconvolution is proposed herein. In this method, to increase the range resolution and lower the sidelobe, a deconvolution algorithm is employed to improve the conventional pulse compression. In our simulation, the tolerance of the algorithm to different signal-to-noise ratios (SNRs) and the resolution ability of multi-target conditions were analyzed. Furthermore, the proposed method was applied to actual underwater data. The experimental results showed that the quality of underwater acoustic imaging could be effectively improved. The ratios of improvement for the SNR and contrast ratio (CR) were 32 and 12.5%, respectively. The target segmentation results based on this method are also shown. The accuracy of segmentation was effectively improved.https://www.mdpi.com/2072-4292/15/20/4908side-scan sonardeconvolutionimage qualitycontrast ratioobject segmentation |
| spellingShingle | Jia Liu Yan Pang Lengleng Yan Hanhao Zhu An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution Remote Sensing side-scan sonar deconvolution image quality contrast ratio object segmentation |
| title | An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution |
| title_full | An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution |
| title_fullStr | An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution |
| title_full_unstemmed | An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution |
| title_short | An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution |
| title_sort | image quality improvement method in side scan sonar based on deconvolution |
| topic | side-scan sonar deconvolution image quality contrast ratio object segmentation |
| url | https://www.mdpi.com/2072-4292/15/20/4908 |
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