| The recognition of ocean red tide with hyper-spectral-image based on EMD |
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| 作者姓名： | 赵文仓 韦洪丽 时长江 姬光荣 |
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| 作者单位： | [1]College of Automation and Electronic Engineering, Qingdao University of Science ＆ Technology, Qingdao 266042, China [2]College of Electronic and Information Engineering, Xi ＇an Jiaotong University, Xi＇an 710049, China [3]Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China [4]Department of Electronic Engineering, Ocean University of China, Qingdao 266003, China |
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| 基金项目： | Supported by Shandong Natural Science Fund （No. Y2007G32）, and the Doctoral Fund of Qingdao University of Science ＆ Technology （No. 0022143 ）. |
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| 摘 要： | A new technique is introduced in this paper regarding red tide recognition with remotely sensed hyper-spectral images based on empirical mode decomposition （EMD）, from an artificial red tide experiment in the East China Sea in 2002. A set of characteristic parameters that describe absorbing crest and reflecting crest of the red tide and its recognition methods are put forward based on general pictre data, with which the spectral information of certain non-dominant alga species of a red tide occurrence is analyzed for establishing the foundation to estimate the species. Comparative experiments have proved that the method is effective. Meanwhile, the transitional area between red-tide zone and non-red-tide zone can be detected with the information of thickness of algae influence, with which a red tide can be forecast.
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| 关 键 词： | 赤潮 航空遥感 成像技术 EMD 特征参数 |
The recognition of ocean red tide with hyper-spectral-image based on EMD |
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| Wencang?Zhao,Hongli?Wei,Changjiang?Shi,Guangrong?Ji.The recognition of ocean red tide with hyper-spectral-image based on EMD[J].Chinese Journal of Oceanology and Limnology,2008,26(2):137-141. |
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| Authors: | Wencang Zhao Hongli Wei Changjiang Shi Guangrong Ji |
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| Institution: | (1) College of Automation and Electronic Engineering, Qingdao University of Science & Technology, Qingdao, 266042, China;(2) College of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China;(3) Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao, 266002, China;(4) Department of Electronic Engineering, Ocean University of China, Qingdao, 266003, China |
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| Abstract: | A new technique is introduced in this paper regarding red tide recognition with remotely sensed hyper-spectral images based on empirical mode decomposition (EMD),from an artificial red tide experiment in the East China Sea in 2002. A set of characteristic parameters that describe absorbing crest and reflecting crest of the red tide and its recognition methods are put forward based on general picture data,with which the spectral information of certain non-dominant alga species of a red tide occurrence is analyzed for establishing the foundation to estimate the species. Comparative experiments have proved that the method is effective. Meanwhile,the transitional area between red-tide zone and non-red-tide zone can be detected with the information of thickness of algae influence,with which a red tide can be forecast. |
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| Keywords: | red tide recognition aerial remote sensing hyper-spectral image empirical mode decomposition (EMD) characteristic parameter |
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