Potassium salt mineral phase detection method based on thermal infrared hyperspectrum

The invention discloses a sylvite mineral phase detection method based on thermal infrared hyperspectrum, and relates to the technical field of phase quantitative analysis, the method comprises the following steps: acquiring emissivity data of a sylvite sample to be measured detected by a thermal infrared hyperspectral imaging system, and preprocessing the emissivity data of the sylvite sample; determining the mineral content of the sylvite sample according to the preprocessed emissivity data and a mineral quantitative calculation formula; wherein the mineral quantitative calculation formula is determined according to a competitive adaptive reweighted sampling and partial least square regression method. The method can be used for simply, quickly and accurately determining the mineral content of the sylvite sample. 本发明公开了一种基于热红外高光谱的钾盐矿物物相检测方法，涉及物相定量分析技术领域，该方法包括：获取热红外高光谱成像系统检测的待测量的钾盐样品的发射率数据，并对所述钾盐样品的发射率数据进行预处理；根据预处理后的发射率数据和矿物定量计算公式，确定钾盐样品的矿物含量；其中，所述矿物定量计算公式是根据竞争自适应重加权采样与偏最小二乘回归的方法确定的。本发明能够简单、快捷、准确确定钾盐样品的矿物含量。