The Spectral Absorption Identification Model and Mineral Mapping by Imaging Spectrometer Data
成象光谱图象光谱吸收鉴别模型与矿物填图研究

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.