Method of Remote Sensing Identification for Mineral Types Based on Multiple Spectral Characteristic Parameters Matching
WEI Jing1, MING Yan-fang1*, HAN Liu-sheng2, REN Zhong-liang3, GUO Ya-min4
1. Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China 2. College of Architecture Engineering, Shandong University of Technology, Zibo 255049, China 3. Space Star Technology Co., Ltd., Ji’nan 250100, China 4. College of Global and Earth System Science, Beijing Normal University, Beijing 100875, China
Abstract：The traditional mineral mapping methods with remote sensing data, based on spectral reflectance matching techniques, shows low accuracy, for obviously being affected by the image quality, atmospheric and other factors. A new mineral mapping method based on multiple types of spectral characteristic parameters is presented in this paper. Various spectral characteristic parameters are used together to enhanced the stability in the situation of atmosphere and environment background affecting. AVIRIS (Airborne Visible Infrared Imaging Spectrometer) data of Nevada Cuprite are selected to determine the mineral types with this method. Typical mineral spectral data are also obtained from USGS (United States Geological Survey) spectral library to calculate the spectral characteristic parameters. A mineral identification model based on multiple spectral characteristic parameters is built by analyzing the various characteristic parameters, and is applied in the mineral mapping experiment in Cuprite area. The mineral mapping result produced by Clark et al. in 1995 is used to evaluate the effect of this method, results show, that mineral mapping results with this method can obtain a high precision, the overall mineral identification accuracy is 78.96%.
Key words：Spectral characteristic parameters;Mineral type recognition;Hyperspectral data;AVIRIS
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