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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (1) : 18-25     DOI: 10.6046/gtzyyg.2013.01.04
Technology and Methodology |
A nonlinear spectral mixture model for hyperspectral imagery based on secondary scattering
YU Xianchuan1, LI Jianguang1,2, XU Jindong1, ZHANG Libao1, HU Dan1
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  

As the linear mixture model cannot well characterize the resultant mixed spectra due to the complicated relations between different ground objects and the effect of atmospheric scattering, a nonlinear spectral mixture model-secondary scattering model is proposed in this paper. Computer simulated images and AVIRIS hyperspectral images of Cuprite district in America were tested, and the experimental results show that the decompostion result of the proposed model are much more precise than that of the traditional linear spectral mixture model.

Keywords vegetation coverage      vegetation index      dimidiate pixel model     
:  TP79  
Issue Date: 21 February 2013
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XU Shuang
SHEN Run-ping
YANG Xiao-yue
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XU Shuang,SHEN Run-ping,YANG Xiao-yue. A nonlinear spectral mixture model for hyperspectral imagery based on secondary scattering[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 18-25.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.01.04     OR     https://www.gtzyyg.com/EN/Y2013/V25/I1/18
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