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.
给出几种战场目标的光谱辐射特性曲线测试数据表，对某型导弹抗干扰特性进行分析。
The spectral radiant characteristic curves and datasheet of several battlefield targets are given the anti interferential characteristics of a missile is analyzed.
最后，利用两组实际的航空发动机油样光谱分析数据对模型进行了验证。
Finally, two time series and aero-engine spectrometric oil analysis data were used to verify this model.
在数据处理过程中，对微分光谱数据进行了小波去噪处理，使信噪比得到了增加，从而使分析精度得到了改善。
In data processing, the wavelet analysis was used for the differential spectral data, so the noise was reduced and the precision of analysis was improved.
高光谱分辨率遥感数据以其丰富的光谱信息使得其分析处理集中于光谱维上进行图像信息的展开和定量分析。
We study on the image information and quantitative analysis focusing on the spectral dimension because the hyperspectral data has the abundant spectral information.
此外，其他配合物的结构通过元素分析、红外光谱及差热失重谱图等数据进行了推测。
Besides, through Element analysis, TG analysis and IR spectrum, the structure of other complexes had been inferred.
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.
根据统计分析结论，使用分段拟合的方法对氨法脱硫的光谱进行计算，有效的提高了脱硫后数据的测量精度；
The calculation of the desulphurization spectrums is done by the use of the polynomial fitting in different sections, which increases the desulphurized data accuracy effectively;
本文利用西洋水域的MODIS影像光谱数据与现场测量的水深数据建立多种统计相关模型进行分析研究。
This paper constructs some water-depth retrieval models of Xiyang water area based on the field data of depth and MODIS image data of spectral reflectance.
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。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
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。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
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