| 用多层感知器模型由吸收光谱反演浮游植物色素 |
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| 引用本文： | 周雯,曹文熙,王桂芬,梁少君,赵俊,孙兆华.用多层感知器模型由吸收光谱反演浮游植物色素[J].热带海洋学报,2010,29(2):46-51. |
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| 作者姓名： | 周雯 曹文熙 王桂芬 梁少君 赵俊 孙兆华 |
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| 作者单位： | 1. 中国科学院南海海洋研究所热带海洋动力学重点实验室,广东,广州,510301
2. 中国科学院南海海洋研究所热带海洋动力学重点实验室,广东,广州,510301;中国科学院研究生院,北京,100039 |
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| 基金项目： | 中国科学院重要方向性项目(KZCX2-YW-215); 国家自然科学基金项目(40906022; 40906021; 40606011) |
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| 摘 要： | 浮游植物吸收光谱已逐渐成为高光谱水色遥感的可获取参量。文章采用了多层感知器模型, 由珠江口担杆群岛附近水体的浮游植物吸收光谱进行了色素浓度的反演, 感知器的输入量是浮游植物吸收光谱, 输出量分别对应叶绿素a、叶绿素b、叶绿素c、光保护类胡萝卜素和非光保护类胡萝卜素五大类主要色素的浓度。分析结果表明, 叶绿素a和叶绿素c估算结果的平均相对偏差比较低, 在测试数据集中两者的偏差分别为19.06%和15.90%; 光保护类胡萝卜素和非光保护类胡萝卜素的估算浓度的相对偏差比较高, 对于测试数据而言, 分别为37.62%和36.96%; 叶绿素b浓度在测试数据集中的估算相对偏差约为27.47%。五大类色素在测试数据集和训练数据集的估算偏差比较接近, 已训练好的多层感知器可用于担杆岛水体中色素信息的反演。同时, 此色素反演方法也为遥感监测水体浮游植物种群动态提供了重要的手段。
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| 关 键 词： | 吸收光谱 色素浓度 浮游植物 多层感知器 |
| 收稿时间： | 2009-05-06 |
| 修稿时间： | 2009-12-25 |
Retrieval of pigment concentrations from the absorption spectra of phytoplankton by multilayered perceptrons |
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| ZHOU Wen,CAO Wen-xi,WANG Gui-fen,LIANG Shao-jun,ZHAO Jun,SUN Zhao-hua.Retrieval of pigment concentrations from the absorption spectra of phytoplankton by multilayered perceptrons[J].Journal of Tropical Oceanography,2010,29(2):46-51. |
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| Authors: | ZHOU Wen CAO Wen-xi WANG Gui-fen LIANG Shao-jun ZHAO Jun SUN Zhao-hua |
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| Institution: | 1. LED, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; 2. Graduate Univ. of Chinese Academy of Sciences, Beijing 10039, China |
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| Abstract: | The absorption spectra of phytoplankton have gradually become an accessible parameter from hyperspectral ocean color. The retrievals of main pigment concentrations from absorption spectra of phytoplankton by multilayered perceptrons were performed. The input parameters for multilayered perceptions were phytoplankton absorption spectra, and the retrieved parameters were Chlorophyll a, b, c, and photosynthetic and non-photosynthetic carotenoids, respectively. The results indicated that Chlorophyll a and c were the most accurate retrieval pigments with average relative deviation of 19.06% and 15.90%, respectively, for the test data subsets, while the poorest performances were found for photosynthetic and non-photosynthetic carotenoids, with average relative deviation of 37.62% and 36.96%, respectively, for the test subsets. Chlorophyll b was retrieved with average relative deviation of 27.47% for the test subsets. The comparable performances of multilayer perceptrons for the training subset and the test subsets suggest that they could be successfully operated on retrieval of main pigments for the waters around the Dangan Islands in the Pearl River Estuary. The multilayer perceptrons of retrieving main pigment from phytoplankton absorption spectra also provide an important way to detect phytoplankton community from hyperspectral ocean color. |
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| Keywords: | absorption spectrum pigment concentration phytoplankton multilayered perceptron |
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