This paper probes emphatically into the accuracy uncertainty of LSMM from atmospheric condition and terrain undulation by taking unmixing vegetation abundance based on LSMM as an example.

本文以线性光谱模型提取植被分量为例，探讨环境大气条件、地形因素对模型精度影响的不确定性。

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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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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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