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成像光谱图像具有几十个窄波段和高的光谱分辨率，使直接识别岩石岩性成为可能，但其海量数据又为数据的处理、分析和应用带来了不便。因此就需要寻求一种在不损失信息或最大限度保持原有信息的前提下又压缩或最小化数据量的方法。在对岩石实验室光谱按成像光谱仪（ＭＡＩＳ）通道重采样后，应用了一种特征信息提取的方法（对应分析法），对岩石光谱进行了分析，达到了压缩数据与岩石分类的目的，同时也探讨了其处理大数据量成像光谱图像数据的意义
Imaging spectral images with dozens of narrow bands and high spectral resolution make it possible to identify rock lithology directly, but the massive data also brings inconvenience to the data processing, analysis and application. Therefore, there is a need to find a way to compress or minimize the amount of data without losing information or maximizing original information. After resampling the MAIS channel of the rock laboratory, a method of feature information extraction (corresponding analysis) was applied to analyze the rock spectrum and achieve the purpose of compressing the data and classifying rocks. At the same time, It also discusses the significance of dealing with large data volume imaging spectral image data