Spectral identification tree (SIT) for mineral extraction using AVIRIS data

Fu-ping Gan; Run-sheng Wang; Ai-nai Ma

doi:10.1117/12.466877

16 June 2003 Spectral identification tree (SIT) for mineral extraction using AVIRIS data

Fu-ping Gan, Run-sheng Wang, Ai-nai Ma

Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.466877
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

The Spectral Identification Tree (SIT) based on diagnostic absorption spectra of minerals was designed and developed to extract minerals directly. The spectral absorption features of different ions or bonds such as CO₃²⁺, Fe²⁺, Fe³⁺, Mn²⁺, Al-Oh and Mg-Oh and so on, of some minerals were summarized. Some spectral identification trees (SIT) and decision rules from various ions to minerals were established using IF-THEN rules which based on some spectral absorption features. Various spectral absorption features which were combine by logistic relationship were used to extract and discriminate different levels’ minerals (e.g. mineral group and mineral) in SIT technique. Information of ions, such as CO₃²⁺, Fe²⁺, Fe³⁺, Mn²⁺, Al-OH and Mg-OH, and of some minerals, such as alunite, montmorillonite, muscovite, halloysite, smect-kaolinite and illite were identified and extracted effectively by SIT technique using AVIRIS data at Cuprite, Nevada of USA, which was a test area.

Citation Download Citation

Fu-ping Gan, Run-sheng Wang, and Ai-nai Ma "Spectral identification tree (SIT) for mineral extraction using AVIRIS data", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.466877

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