With development of Imaging Spectrometer

the study of geological spectralremote sensing has been stepping into the stage of mineral direct identification fromlithological distinguish. An important approach is to extract mineral information fromimaging spectrometer data. In this paper

a spectral absorption identification model hasbeen developed for mineral mapping. The key technique of this model is spectralabsorption index （SAI）. Applying Hapke spectral Model

the relationship between SAIand spectral absorption coefficient （d） or /and single scattering albedo （w ） is estab lished. The relationship between SAI image and spectral absorption depth is analyzedalso. Due to the quantitative relation between mineral content and absorption depth

the SAI will provide the quantitative information of mineral composite. The SAI hasbeen applied in image processing and mineral mapping of FIMS MAIS and GERIS inHatu area

Tarim Basin and Pine Creek of Australia. The study shows SAI is aneffective method to extract mineral type and abundance from hyperspectral image.