WU Bo, WANG Xiaoqin, ZHANG Liangpei. Iterative Abstraction of Endmember Based on Total Least Square for Mixture Pixel Decomposition[J]. Geomatics and Information Science of Wuhan University, 2008, 33(5): 457-460.
Citation:
WU Bo, WANG Xiaoqin, ZHANG Liangpei. Iterative Abstraction of Endmember Based on Total Least Square for Mixture Pixel Decomposition[J]. Geomatics and Information Science of Wuhan University, 2008, 33(5): 457-460.
WU Bo, WANG Xiaoqin, ZHANG Liangpei. Iterative Abstraction of Endmember Based on Total Least Square for Mixture Pixel Decomposition[J]. Geomatics and Information Science of Wuhan University, 2008, 33(5): 457-460.
Citation:
WU Bo, WANG Xiaoqin, ZHANG Liangpei. Iterative Abstraction of Endmember Based on Total Least Square for Mixture Pixel Decomposition[J]. Geomatics and Information Science of Wuhan University, 2008, 33(5): 457-460.
Iterative Abstraction of Endmember Based on Total Least Square for Mixture Pixel Decomposition
An extension linear spectral model based on total least square algorithm is proposed,and iteratively abstract the better endmembers and physically based constrained algorithm with this model are presented. The results show that the proposed model provides better accuracy than traditional least square method,the total estimating precision improves by 10%-20%.
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