principal spectrum

Firstly, the spectrum data is processed by principal component analysis ( PCA), then, an estimating model based on a Gaussian kernel function is set up using the PCA data and their temperatures.

首先对历史光谱数据进行主成分分析（PCA）处理，再根据PCA特征数据与其表面温度的对应关系建立温度的估计模型，该模型是基于高斯核函数的。

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The principal to get target speed by DEMON spectrum is given, and the computing efficiency for this method is also analyzed by the simulation in this paper.

给出了通过DEMON频谱获取目标速度的方法，并通过仿真对联合解算效率与纯方位法进行了比较。

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