不同光谱数据预处理方法和谱区范围，影响建立定量分析模型的质量。
Different spectral data preprocessing methods and spectral regions have influences on the performance of model established.
本文系统地分析了几种传统的光谱数据预处理方法，指出了这些方法各自的特点及适用范围。
This article systematically analyzes several traditional pretreatment methods for Near-infrared spectra, and discusses the character and the field they can be used in.
最后探讨了高光谱遥感数据的五种常用分类方法及分类预处理步骤，为后续工作提供一些思路。
Following the presentation of the fieldwork results, the paper discusses five prevailing classification methods and steps for pre-processing, providing some ideas for following work.
因此本文针对大米光谱数据的数学模型，综合多门学科的知识，对光谱的预处理及数学建模方法等关键技术进行了深入的分析和研究。
So, in the dissertation, an in-depth study is carried out by synthesizing multi-disciplinary knowledge on the pre-treatment and modeling of race's Near-infrared spectroscopy.
因此本文针对大米光谱数据的数学模型，综合多门学科的知识，对光谱的预处理及数学建模方法等关键技术进行了深入的分析和研究。
So, in the dissertation, an in-depth study is carried out by synthesizing multi-disciplinary knowledge on the pre-treatment and modeling of race's Near-infrared spectroscopy.
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