In traditional spectral unmixing method based on linear spectral mixing model (LSMM), unmixing accuracy is deteriorated both by the deficiency of the model and the participation of unrelated classes.

在传统基于线性光谱混合模型的光谱解译方法中，模型自身的不足以及在光谱解译过程中无关类别的参与都影响着解译效果。

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In traditional spectral unmixing method based on linear spectral mixing model (LSMM), unmixing accuracy is deteriorated both by the deficiency of the model and the participation of unrelated classes.

在传统基于线性光谱混合模型的光谱解译方法中，模型自身的不足以及在光谱解译过程中无关类别的参与都影响着解译效果。

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