Based on the characteristics of space target components, this paper proposes a spectral in-degree distribution curvematching algorithm. Simulation experiments showed the average accuracy of the proposed algorithm is improved in comparison with the Harsanyi–Farrand–Chang and HySime algorithms. The simulation experiments were performed for a case in which the number of mixed spectral bands was reasonably small. The results showed the number of endmembers could be estimated accurately when the number of endmembers was three to eight. The algorithm proposed in this paper is suitable for estimating the number of endmembers of a space target.

中文翻译：

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基于特征增强空间光谱匹配算法的混合光谱端成员数估计方法

根据空间目标成分的特点，提出了一种光谱内度分布曲线匹配算法。仿真实验表明，与Harsanyi–Farrand–Chang和HySime算法相比，该算法的平均精度有所提高。针对混合光谱带的数量相当少的情况进行了仿真实验。结果表明，当最终成员数为3到8时，可以准确估计最终成员数。本文提出的算法适用于估计空间目标末端成员的数量。