| YANG Jungang,ZHANG Jie,MENG Junmin. 2010. A detection model of underwater topography with a series of SAR images acquired at different time. Acta Oceanologica Sinica, (4):28－37 |
| A detection model of underwater topography with a series of SAR images acquired at different time |
| A detection model of underwater topography with a series of SAR images acquired at different time |
| Received:May 22, 2009 Revised:December 14, 2009 |
| DOI：10.1007/s13131-010-0054-7 |
| Key words:underwater topography SAR image Taiwan Shoal tide and tidal current |
| 中文关键词: underwater topography SAR image Taiwan Shoal tide and tidal current |
| 基金项目:The National Natural Science Foundation of China under contract Nos 60672159 and 60890075, the State Oceanic Administration Science Foundation for Youths under contract No.2009421 and the Special Funds for Marine Commonweal Research under contract No. 200705027. |
| Author Name | Affiliation | E-mail | | YANG Jungang | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | yangjg@fio.org.cn | | ZHANG Jie | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Key Laboratory of Marine Science and Numerical Modeling(MASNUM), State Oceanic Administration, Qingdao 266061, China | | | MENG Junmin | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | |
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| Abstract: |
| underwater topography is one of oceanic features detected by Synthetic Aperture Radar. Underwater topography SAR imaging mechanism shows that tidal current is the important factor for underwater topography SAR imaging. Thus under the same wind field condition, SAR images for the same area acquired at different time include different information of the underwater topography. To utilize synchronously SAR images acquired at different time for the underwater topography SAR detection and improve the precision of detection, based on the detection model of underwater topography with single SAR image and the periodicity of tidal current, a detection model of underwater topography with a series of SAR images acquired at different time is developed by combing with tide and tidal current numerical simulation. To testify the feasibility of the presented model, Taiwan Shoal located at the south outlet of Taiwan Strait is selected as study area and three SAR images are used in the underwater topography detection. The detection results are compared with the field observation data of water depth carried out by R/V Dongfanghong 2, and the errors of the detection are compared with those of the single SAR image. All comparisons show that the detection model presented in the paper improves the precision of underwater topography SAR detection, and the presented model is feasible. |
| 中文摘要: |
| underwater topography is one of oceanic features detected by Synthetic Aperture Radar. Underwater topography SAR imaging mechanism shows that tidal current is the important factor for underwater topography SAR imaging. Thus under the same wind field condition, SAR images for the same area acquired at different time include different information of the underwater topography. To utilize synchronously SAR images acquired at different time for the underwater topography SAR detection and improve the precision of detection, based on the detection model of underwater topography with single SAR image and the periodicity of tidal current, a detection model of underwater topography with a series of SAR images acquired at different time is developed by combing with tide and tidal current numerical simulation. To testify the feasibility of the presented model, Taiwan Shoal located at the south outlet of Taiwan Strait is selected as study area and three SAR images are used in the underwater topography detection. The detection results are compared with the field observation data of water depth carried out by R/V Dongfanghong 2, and the errors of the detection are compared with those of the single SAR image. All comparisons show that the detection model presented in the paper improves the precision of underwater topography SAR detection, and the presented model is feasible. |
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