基于遥感反射比光谱的一种藻类识别方法

殷蕾; 唐军武; 宋庆君

基于遥感反射比光谱的一种藻类识别方法

1.
遥感科学国家重点实验室,北京 100101;中国科学院遥感应用研究所,北京 100101
2.
遥感科学国家重点实验室,北京 100101;国家海洋技术中心天津 300112
3.
国家卫星海洋应用中心,北京 100081

基金项目: 国家"863"项目(2006AA09Z178)。

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出版历程
- 收稿日期: 2010-08-26

A method of classification for algal species based on remote sensing reflectance spectra

1.
State Key Laboratory of Remote Sensing Sciences, Beijing 100101, China;Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China
2.
State Key Laboratory of Remote Sensing Sciences, Beijing 100101, China;National Marine Technology Center, Tianjin 300112,China
3.
National Marine Satellite Application Center, Beijing 100081, China

摘要

摘要: 利用所得的甲藻门和硅藻门的17种藻类遥感反射比光谱,对其进行平滑、取倒数和归一化等预处理后,进行了四阶微分处理。根据聚类分析结果,甲藻门各藻种分为一类,而硅藻门的藻种分为另一类,这说明经上述处理后,甲藻门和硅藻门的差异性显著增大。将甲藻门和硅藻门的四阶微分光谱分别平均得到门类的特征光谱,并在原始数据中加入泥沙进行敏感性分析,结果表明当泥沙含量小于50 mg/dm³时藻种在门类上的正确识别概率可达90%以上。研究表明上述处理方法可作为甲藻和硅藻的识别测定方法。
- 遥感反射比 /
- 四阶微分 /
- 浮游植物 /
- 识别
Abstract: The remote sensing reflectance spectra measured from 17 phytoplankton species belonging to dinophyta and bacillariophyta were studied. The fourth-derivative analysis was performed on the spectra after being smoothed,reversed and normalized. According to clustering analysis, the algae were classified correctly into the two catagories. The derivative spectra of dinophyta and bacillariophyta were separately averaged to obtain their characteristic spectra. And a sensitivity analysis about mineral particles was carried out, and the correct probability could up to 90% when the mineral concentration was less than 50 mg/dm³ .In a word, the derivative method could be a useful tool to differentiate dinophyta and bacillariophyta.
- remote sensing reflectance /
- fourth-derivation /
- phytoplankton /
- discrimination

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