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《Progress in Geophysics》 2014-01
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The hyperspectral mixed pixel blind separation model

CHANG Rui-chun;WANG Lu;College of Management Science,Chengdu University of Technology;Geomathematics Key Laboratory of Sichuan Province;Chengdu Neusoft University;  
Hyperspectral remote sensing images for "mixed pixel" issue,on the basis of previous studies,we propose a combination of blind source separation techniques blind separation of mixed pixel model.The model's core algorithm is based on negative entropy HFC algorithm and improved FastICA algorithm,the advantage is the ability to very little prior knowledge can be carried unmixing complete feature extraction work,and fast convergence and high precision.Simulated data using hyperspectral data processing noise were tested blind separation of mixed pixel model validity and stability,the experimental results showed that:Million by the end of the model to extract the influence of the number of Gaussian white noise and less impact on the feature extraction of hyperspectral remote sensing data validity and stability.
【Fund】: 国家863计划:“地质应用系统建设与典型应用示范研究”(课题编号:2008AA121103)子题“高光谱数据处理与蚀变矿物信息提取”
【CateGory Index】: P237
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