混合像元线性分解是高光谱影像处理的常用方法，它使用相同的端元矩阵对像元进行分解，其结果是分解精度不高。为此提出了一种端元可变的混合像元分解方法，在确定端元矩阵时，首先考察混合像元与端元的光谱相似性，结合地物空间分布特点，实现了可变端元的混合像元分解。试验结果表明，该分解方法分解精度优于传统线性模型，符合实际情况。

Linear pixel unmixing is a straightforward and efficient approach to the spectral decomposition of hyperspectral remotely sensed scenes,which involves only a single pixel with the same mixing proportions.In this paper we develop a method of selective endmembers for pixel unmixing.The proposed algorithm compares pixel spectral with endmember spectral and take the neighboring pixel into account when selecting the endmember matrix(EM).Experimental results show that the selective endmember algorithm achieves improvement over conventional linear algorithms.