[A study on the relationship between the composition and spectral feature parameters in chlorite].

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 of 146 typical chlorite mineral particles by using electron probe micro analysis technology, and calculated the relevant chemical parameters of n(Al(IV)), n(Al(VI)), 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.

[A spectral unmixing method of estimating main minerals abundance of lunar soils].

Estimating minerals abundance from reflectance spectra is one of the fundamental goals of remote sensing lunar exploration, and the main difficulties are the complicated mixing law of minerals spectrum and spectral features being sensitive to several kinds of factors such as topography, particle size and roughness etc. A method based on spectral unmixing was put forward and tested in the present paper. Before spectra are unmixed the spectral continuum is removed for clarifying and strengthening spectral features.