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。
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.
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。
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.
提出了辐射光谱、测量区域内大气透过率谱的算法模型，以及应用非线性最小二乘拟合算法实现气体浓度反演的方法。
The algorithm of radiance spectra and transmittance spectra in measured region was proposed, and the method of retrieving gas concentrations with NLLS fitting algorithm was also proposed.
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