Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images
ObjectivesAiming at the problem of the identifiability of underwater vehicle wave trails in synthetic aperture radar (SAR) images in a density stratified environment, this study establishes a theoretical solution model and quantitative analysis method. MethodBased on the statistical information of o...
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| Format: | Article |
| Language: | English |
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Editorial Office of Chinese Journal of Ship Research
2025-06-01
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| Series: | Zhongguo Jianchuan Yanjiu |
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| Online Access: | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03935 |
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| _version_ | 1849687233678802944 |
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| author | Zhechao YANG Liqun REN Changhong ZHI Yunxiang YOU Hongwei WANG |
| author_facet | Zhechao YANG Liqun REN Changhong ZHI Yunxiang YOU Hongwei WANG |
| author_sort | Zhechao YANG |
| collection | DOAJ |
| description | ObjectivesAiming at the problem of the identifiability of underwater vehicle wave trails in synthetic aperture radar (SAR) images in a density stratified environment, this study establishes a theoretical solution model and quantitative analysis method. MethodBased on the statistical information of ocean stratification characteristics, a theory of internal waves induced by equivalent sources of moving mass and momentum is designed. The modulated wave spectrum of each statistically independent sea surface unit and the corresponding intensity distribution mapped in the SAR images are calculated, and then the texture feature information of the internal wave trails in the images is extracted based on the gray level co-occurrence matrix. ResultsThe results show that under specific parameter conditions, the identifiable interval of internal wave trails in SAR images occurs when the maximum buoyancy frequency is greater than 0.02 rad/s and the corresponding depth is less than 100 m. ConclusionThe proposed method can be used to effectively calculate and analyze the identifiability of internal wave trails in any density stratified environment, providing a basis for underwater target detection. |
| format | Article |
| id | doaj-art-34bc50b5be744a2587eca3a302e64981 |
| institution | DOAJ |
| issn | 1673-3185 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Editorial Office of Chinese Journal of Ship Research |
| record_format | Article |
| series | Zhongguo Jianchuan Yanjiu |
| spelling | doaj-art-34bc50b5be744a2587eca3a302e649812025-08-20T03:22:22ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852025-06-0120329630410.19693/j.issn.1673-3185.03935ZG3935Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar imagesZhechao YANG0Liqun REN1Changhong ZHI2Yunxiang YOU3Hongwei WANG4State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaShanghai Lingyao Marine Engineering Co., Ltd., Shanghai 201108, ChinaObjectivesAiming at the problem of the identifiability of underwater vehicle wave trails in synthetic aperture radar (SAR) images in a density stratified environment, this study establishes a theoretical solution model and quantitative analysis method. MethodBased on the statistical information of ocean stratification characteristics, a theory of internal waves induced by equivalent sources of moving mass and momentum is designed. The modulated wave spectrum of each statistically independent sea surface unit and the corresponding intensity distribution mapped in the SAR images are calculated, and then the texture feature information of the internal wave trails in the images is extracted based on the gray level co-occurrence matrix. ResultsThe results show that under specific parameter conditions, the identifiable interval of internal wave trails in SAR images occurs when the maximum buoyancy frequency is greater than 0.02 rad/s and the corresponding depth is less than 100 m. ConclusionThe proposed method can be used to effectively calculate and analyze the identifiability of internal wave trails in any density stratified environment, providing a basis for underwater target detection.http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03935density stratificationinternal wave trailssynthetic aperture radartarget trackinggray-level co-occurrence matrixocean stratificationunderwater target detection |
| spellingShingle | Zhechao YANG Liqun REN Changhong ZHI Yunxiang YOU Hongwei WANG Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images Zhongguo Jianchuan Yanjiu density stratification internal wave trails synthetic aperture radar target tracking gray-level co-occurrence matrix ocean stratification underwater target detection |
| title | Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images |
| title_full | Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images |
| title_fullStr | Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images |
| title_full_unstemmed | Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images |
| title_short | Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images |
| title_sort | impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images |
| topic | density stratification internal wave trails synthetic aperture radar target tracking gray-level co-occurrence matrix ocean stratification underwater target detection |
| url | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03935 |
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