| Technology and Methodology |
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Mineral mapping based on secondary scattering mixture model |
| YU Xianchuan1, Xiong Liping1, XU Jindong1, Hu Dan1, ZHANG Libao1, LI Jianguang2 |
1. Beijing Normal University, College of Information Science and Technology, Beijing 100875, China;
2. Communication University of China, Information Enginering School, Beijing 100024, China |
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Abstract Traditional geological mapping methods usually cannot conduct mapping for the whole study area and takes little account to the situation that a variety of features has symbiotic combination in one pixel, which makes it difficult to reflect the complex geological distribution characteristics. Since the unmixing accuracy of the linear model cannot meet actual application need, the secondary scattering model was used to the unmixing of hyperspectral data. On such a basis, this paper proposed k (k ≥ 2) class mapping rules based on the unmixing result. The Nevada Cuprite AVIRIS data were used in the experiment, and actual mapping results obtained by Clark et al. were taken as the reference. The comparison results have shown that mapping results based on the secondary scattering mixture model are closer to actual ground feature distribution than those based on the linear model and, in comparison with the results from one class mapping rule, the results using k (k ≥ 2) class mapping rules have richer details and are closer to the results obtained by Clark et al.
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| Keywords
Tibet
snow depth
spatial-temporal variations
climate response
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Issue Date: 28 March 2014
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2014,
Vol. 26
