The metal element information extraction from hyperion data based on the vegetation stress spectra

被引:2
|
作者
Faculty of Materials Science and Chemistry University of Geosciences, Wuhan [1 ]
430074, China
不详 [2 ]
130026, China
不详 [3 ]
100029, China
机构
来源
关键词
Data mining - Mineral resources - Metals - Vegetation - Absorption spectroscopy;
D O I
10.3799/dqkx.2015.112
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The migration enrichment of metallogenic elements in the bearing bed can cause changes of the spectrum of overlying vegetation. Therefore, the metallogenic elements enrichment information which is extracted by using vegetation spectral response characteristics can be used to indicate the underlying mineral deposits. In this paper, Xi Ujimqin Qi grassland in Inner Mongolian was taken as an example. The spectra of the vegetation was collected and Nine metal elements in the vegetation were measured. The influence of red edge and absorption depth on the sensitivity of different metallogenic elements were analyzed. The significance of model parameters was verified and the element-response model based on absorption depth was established to detect W and Co elements, which was applied to hyperspectral data (Hyperion). Combined with the field work, the element contents of enriched samples are testified to be higher than the background values. This research shall provide new perspective for mineral investigation and prediction of hyperspectral remote sensing in vegetated area. ©, 2015, China University of Geosciences. All right reserved.
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