| 基于线性混合模型的端元提取方法综述 |
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| 引用本文： | 陈子玄,武文波.基于线性混合模型的端元提取方法综述[J].测绘科学,2008(Z1). |
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| 作者姓名： | 陈子玄 武文波 |
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| 作者单位： | 辽宁工程技术大学 |
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| 摘 要： | 混合像元是遥感领域研究的热点,而基于线性混合模型的光谱解混合技术正在越来越广泛地应用在光谱数据分析和遥感地物量化中,这项技术的关键就在于确定端元光谱。本文归纳了目前几种比较成熟的端元提取算法,分析了它们的主要思想和存在的优缺点,最后介绍了端元提取技术的应用及其发展趋势。
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| 关 键 词： | 混合像元 线性混合模型 端元提取 |
A review on endmember extraction algorithms based on the linear mixing model |
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| Abstract: | Mixed-pixel is a hot spot in the domain of remote sensing.Spectral unmixing techniques based on the linear mixing model are widely used for hyperspectral data analysis.The identification of the purest spectral signatures of ground constituents(end- member)in a scene is a previous step in all unmixing approaches.Several different algorithms for extracting endmembers are derived from the linear mixing model,the main ideas of these methods,as well as the advantages and disadvantages are presented and dis- cussed respectively in this paper.Then,the applications and the trends of endmember extraction algorithms in recent years are also an- alyzed. |
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| Keywords: | mixed-pixel the linear mixing model Endmember extraction |
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