Abstract: Spectrum is sensitive in detecting primary minerals of the lunar surface between visible light and infrared light.Since spectral characteristics of minerals are decided by their composition as well as the maturity level of soiland because distribution of minerals and elements of the lunar surface plays a crucial role in the evolution of the moon, it is especially worthwhile to analyze the composition of minerals of the lunar surface by remote sensing and to inverse mineral content using statistical method.The correlation between the spectral characteristics of Chang’e-1 interference imaging spectrometer (IIM) reflectance images and the mineral content of LSCC lunar surface mineral samples are anaylized, and distribution of FeO and Al₂O₃ across the lunar nearside is examined using the improved angle parameter method and MNF statistics approach.A comparison of the mapping results of the optical models of and other researchers on Clementine and the gamma ray spectrometer data reveals that the content error is within 0.6% for lunar mare areas and close to 1 % for the highland areas.