Research on the Model of Spectral Unmixing for Minerals Based on Derivative of Ratio Spectroscopy

The precise analysis of mineral abundance is a key difficulty in hyperspectral remote sensing research.In the present paper,based on linear spectral mixture model,the derivative of ratio spectroscopy(DRS) was introduced for spectral unmixing of visible to short-wave infrared(Vis-SWIR;0.4~2.5 μm) reflectance data.The mixtures of different proportions of plaster and allochite were analyzed to estimate the accuracy of the spectral unmixing model based on DRS.For the best 5 strong linear bands,the Pearson correlation coefficient(PCC) of the abundances and the actual abundances were higher than 99.9%,while the root mean square error(RMSE) is less than 2.2%.The result shows that the new spectral unmixing model based on DRS is simple,of rigorous mathematical proof,and highly precise.It has a great potential in high-precision quantitative analysis of spectral mixture with fixed endmembers.