Applying Mineral Mapping on Hyperspectral Data Using Spectral Feature Fitting Method Case Study: Abtorsh Area, Iran
Mineral mapping method was applied on airborne HyMap hyperspectral data to create maps of mineral distribution in Abtorsh area, HyMap sensor operates in spectral range of 0.45-2.5 μm in 126 spectral bands with band width of 15-20 nm. Abtorsh area is the first area in the country in which hyperspectral imaging was applied. In order to remove instrumental and atmospheric effects from hyperspectral data, the raw data should first be changed into radiance at sensor and then to reflectance data, so that they can be compared with reference spectral data. The Spectral Feature Fitting (SFF) which is an absorption-feature-based methodology was used to compare the fit of image spectra to selected reference spectra (USGS spectral library). Identification of different alteration minerals such as kaolinite, dickite, alunite, pyrophillite, montmorillonite, and verification of the results by laboratory measurements from field samples indicates the high capability of hyperspectral remote sensing and efficiency of SSF algorithm in mapping of alteration minerals.
Pouran Behnia
Geological Survey of Iran, Meraj Street, Azadi Square, Tehran, Iran
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
477-480
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）