| 主成分分析法在油荧光光谱波段选择中的应用 |
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| 引用本文： | 刘智深,丁宁,赵朝方,齐敏珺.主成分分析法在油荧光光谱波段选择中的应用[J].地理空间信息,2009,7(3):12-15. |
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| 作者姓名： | 刘智深 丁宁 赵朝方 齐敏珺 |
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| 作者单位： | 中国海洋大学,海洋遥感研究所,海洋遥感教育部重点实验室,山东,青岛,266003 |
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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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| 摘 要： | 355nm激光器发射激光入射到海水表面，激发海表面溢油的荧光光谱，运用高光谱图像降维中应用广泛的分段主成分分析算法对油荧光光谱进行波段选择。该算法把每个分段被映射到主成分的信息量的大小作为是否被选择的标准，保证了选择波段的信息丰富；通过分段分析消除了传统主成分分析的全局性引起的波段忽略问题，获得较为满意的降维效果。
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| 关 键 词： | 激光油荧光光谱 分段主成分分析 波段选择 |
Application of the PCA Method to Band Selection for Oil Fluorescence Spectrums |
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| LIU Zhishen,DING Ning,ZHAO Chaofang,QI Minjun.Application of the PCA Method to Band Selection for Oil Fluorescence Spectrums[J].Geospatial Information,2009,7(3):12-15. |
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| Authors: | LIU Zhishen DING Ning ZHAO Chaofang QI Minjun |
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| Institution: | LIU Zhishen,DING Ning,ZHAO Chaofang,QI Minjun(The Key Laboratory of Ocean Remote Sensing,Ministry of Education,Ocean Remote Sensing Institute,Ocean University of China,Qingdao 266003,China) |
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| Abstract: | The laser with the wavelength of 355nm irradiates to the sea surface, and excites the fluorescence spectrums of oils spilled on the sea surface.The segmented principal component analysis(PCA) algorithm widely used in the dimensionality reduction of hyper spectral image, was usedto band selection accordingtooil fluorescence spectrums.This algorithm regards the amount of the information that is mappen into the principal components of a given band as the selected criterion, it can ensure that the selected band... |
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| Keywords: | laser oil fluorescence spectrums segmented principal component analysis band selection |
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