基于线性混合模型的端元提取方法综述

A review on endmember extraction algorithms based on the linear mixing model

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。

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- cuss...