本文对成像光谱仪数据信息提取和分类方法进行了探讨，提出了一个系统地对高分辨率成像光谱数据进行处理、分析、分类的方案。
This paper probes into data information extraction and classification methods for imaging spectrometer, puts a scheme to process and classify the information of imaging spectrometer.
利用回归分析方法，对改进的小型摄谱仪测氢原子光谱实验的数据进行了处理。
The regression analysis method is used to deal with the data of the hydrogen atom spectroscopy experiment measured by small spectrograph.
从原始光谱中提取有效信息，对原始数据进行优化处理，成为近红外光谱分析中建立较理想数学模型的关键。
So extracting effective information from NIR spectrum and optimizing the original spectrum data are crucial to develop ideal mathematical model in NIRS.
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