A novel method for spectral similarity measure, which is called nonlinear spectral Angle mapper, is presented.
提出了一种新的光谱相似性度量方法，即非线性光谱角制图。
Experimental results of Hyperspectral image segmentation show that our method is better than traditional spectral Angle mapping method.
高光谱图像分割实验结果表明该方法在光谱相似性度量上优于传统的光谱角制图方法。
Based on the analysis of geometric attributes and characteristic of spectral Angle mapping, a novel similarity measure is presented in this paper.
在分析传统光谱角制图方法的几何属性和相似性度量特点的基础上，提出一种新的光谱相似性度量方法。
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