In order to explore the intrinsic relationship of mineral spectral characteristics and its composition, and provide the basis for the detection of mineral micro information by using hyperspectral technology, based on the thinsection analysis, the authors identified the minerals characteristics and mineral assemblages in rock samples, delineated typical chlorite minerals and divided the occurrence characteristics of chlorite. The authors measured chemical composition of146 typical chlorite mineral particles by using electron probe micro analysis technology, and calculated the relevant chemical parameters of n(AlⅣ), n(AlⅥ), n(Fe), n(Mg), and n(Fe)/n(Fe+Mg) ratio. In addition we analysed the rock and mineral spectra, and extracted chlorite characteristic spectral parameters. Therelationship between the spectra feature parameters and the main crystal chemical parameters in chlorite was analyzed. The study indicated that the diagnostic spectral wavelength of chlorites moved to long wavelength. The results have important guiding significance for identifying the alteration and rock forming mineral species, composition and structure characteristics by usinghyperspectral remote sensing technology.