Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data
The complex convergence of cold and warm ocean currents in the Nordic Seas provides suitable conditions for the formation and development of eddies. In the Marginal Ice Zones (MIZs), ice eddies contribute to the accelerated melting of surface sea ice by facilitating vertical heat transfer, which inf...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1480796/full |
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| author | Jinqun Wu Jinqun Wu Yiqin Zheng Tingting Wang Chunyong Ma Chunyong Ma Ge Chen Ge Chen |
| author_facet | Jinqun Wu Jinqun Wu Yiqin Zheng Tingting Wang Chunyong Ma Chunyong Ma Ge Chen Ge Chen |
| author_sort | Jinqun Wu |
| collection | DOAJ |
| description | The complex convergence of cold and warm ocean currents in the Nordic Seas provides suitable conditions for the formation and development of eddies. In the Marginal Ice Zones (MIZs), ice eddies contribute to the accelerated melting of surface sea ice by facilitating vertical heat transfer, which influences the evolution of the marginal ice zone and plays an indirect role in regulating global climate. In this paper, we employed high-resolution synthetic aperture radar (SAR) satellite imagery and proposed an oriented ice eddy detection network (OIEDNet) framework to conduct automated detection and spatiotemporal analysis of ice eddies in the Nordic Seas. Firstly, a high-quality RGB false-color imaging method was developed based on Sentinel-1 dual-polarization (HH+HV) Extra-Wide Swath (EW) mode products, effectively integrating denoising algorithms and image processing techniques. Secondly, an automatic ice eddy detection method based on oriented bounding boxes (OBB) was constructed to identify the ice eddy and output features such as horizontal scales, eddy centers and rotation angles. Finally, the characteristics of the detected ice eddies in the Nordic Seas during 2022-2023 were systematically analyzed. The results demonstrate that the proposed OIEDNet exhibits significant performance in ice eddy detection. |
| format | Article |
| id | doaj-art-3ad37c55eec1470d9be37908aa2bcc89 |
| institution | DOAJ |
| issn | 2296-7745 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-3ad37c55eec1470d9be37908aa2bcc892025-08-20T02:44:39ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-01-011110.3389/fmars.2024.14807961480796Oriented ice eddy detection network based on the Sentinel-1 dual-polarization dataJinqun Wu0Jinqun Wu1Yiqin Zheng2Tingting Wang3Chunyong Ma4Chunyong Ma5Ge Chen6Ge Chen7Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao, ChinaMarine Remote Sensing Department, Piesat Information Technology Co., Ltd., Beijing, ChinaMarine Remote Sensing Department, Piesat Information Technology Co., Ltd., Beijing, ChinaInformation Technology Department, Qingdao Earthquake Prevention and Disaster Reducion Center, Qingdao, ChinaFrontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao, ChinaLaboratory for Regional Oceanography and Numerical Modeling, Laoshan Laboratory, Qingdao, ChinaFrontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao, ChinaLaboratory for Regional Oceanography and Numerical Modeling, Laoshan Laboratory, Qingdao, ChinaThe complex convergence of cold and warm ocean currents in the Nordic Seas provides suitable conditions for the formation and development of eddies. In the Marginal Ice Zones (MIZs), ice eddies contribute to the accelerated melting of surface sea ice by facilitating vertical heat transfer, which influences the evolution of the marginal ice zone and plays an indirect role in regulating global climate. In this paper, we employed high-resolution synthetic aperture radar (SAR) satellite imagery and proposed an oriented ice eddy detection network (OIEDNet) framework to conduct automated detection and spatiotemporal analysis of ice eddies in the Nordic Seas. Firstly, a high-quality RGB false-color imaging method was developed based on Sentinel-1 dual-polarization (HH+HV) Extra-Wide Swath (EW) mode products, effectively integrating denoising algorithms and image processing techniques. Secondly, an automatic ice eddy detection method based on oriented bounding boxes (OBB) was constructed to identify the ice eddy and output features such as horizontal scales, eddy centers and rotation angles. Finally, the characteristics of the detected ice eddies in the Nordic Seas during 2022-2023 were systematically analyzed. The results demonstrate that the proposed OIEDNet exhibits significant performance in ice eddy detection.https://www.frontiersin.org/articles/10.3389/fmars.2024.1480796/fullsynthetic aperture radardual-polarizationice eddyoriented object detectiondeep learning |
| spellingShingle | Jinqun Wu Jinqun Wu Yiqin Zheng Tingting Wang Chunyong Ma Chunyong Ma Ge Chen Ge Chen Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data Frontiers in Marine Science synthetic aperture radar dual-polarization ice eddy oriented object detection deep learning |
| title | Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data |
| title_full | Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data |
| title_fullStr | Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data |
| title_full_unstemmed | Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data |
| title_short | Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data |
| title_sort | oriented ice eddy detection network based on the sentinel 1 dual polarization data |
| topic | synthetic aperture radar dual-polarization ice eddy oriented object detection deep learning |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1480796/full |
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