| Spatial information recognizing of ocean eddies based on virtual force field and its application |
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| 作者姓名： | LI Ce DU Yunyan SU Fenzhen YANG Xiaomei XU Jun |
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| 作者单位： | LI Ce1，DU Yunyan1，SU Fenzhen 1，YANG Xiaomei1，XU Jun11. State Key Laboratory of Resources and Environment Information System，Institute of Geographic Science and Natural Resources，Chinese Academy of Sciences，Beijing 100101，China |
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| 基金项目： | 国家高技术研究发展计划(863计划)
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中国科学院资助项目 |
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| 摘 要： | A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy's eigen-pattern in remote sensing imagery and "force field-based shape extracting method" is proposed. First, the analysis on extracting eddies' edges from remote sensing imagery using conventional edge detection arithmetic operators is performed and returns digitized vector edge data as a result. Second, attraction forces and fusion forces between edge curves were analyzed and calculated based on the vector eddy edges. Thirdly, the virtual significant spatial patterns of eddy were detected automatically using iterative repetition followed by optimized rule. Finally, the spatial form auto-detection of different types of ocean eddies was done using satellite images. The study verified that this is an effective way to identify and detect the ocean eddy with a complex form.
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| 关 键 词： | 海洋漩涡 分式域 海洋学 原因分析 |
| 收稿时间： | 2006/8/20 0:00:00 |
| 修稿时间： | 2006-08-20 |
Spatial information recognizing of ocean eddies based on virtual force field and its application |
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| LI Ce,DU Yunyan,SU Fenzhen,YANG Xiaomei,XU Jun.Spatial information recognizing of ocean eddies based on virtual force field and its application[J].Acta Oceanologica Sinica,2007,26(4):44-52. |
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| Authors: | LI Ce DU Yunyan SU Fenzhen YANG Xiaomei and XU Jun |
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| Institution: | State Key Laboratory of Resources and Environment Information System, Institute of Geographic Science and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy's eigen-pattern in remote sensing imagery and "force field-based shape extracting method" is proposed. First, the analysis on extracting eddies' edges from remote sensing imagery using conventional edge detection arithmetic operators is performed and returns digitized vector edge data as a result. Second, attraction forces and fusion forces between edge curves were analyzed and calculated based on the vector eddy edges. Thirdly, the virtual significant spatial patterns of eddy were detected automatically using iterative repetition followed by optimized rule. Finally, the spatial form auto-detection of different types of ocean eddies was done using satellite images. The study verified that this is an effective way to identify and detect the ocean eddy with a complex form. |
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| Keywords: | ocean eddy spatial pattern recognizing force field detection |
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