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《Science of Surveying and Mapping》 2011-05
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A review on spectral unmixing algorithms based on linear mixing model

LI Er-sen①,ZHANG Bao-ming①,SONG Li-hua①,YU Wen-jie①,TANG De-jin②(①Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;②Troops 61135,Beijing 102211,China)  
The mixels not only influence the accuracy of target detection and classification based on the hypersepectral images,but also greatly hinder the development of quantitative remote sensing.Now,most of the spectral unmixing algorithms are based on the linear spectral mixing model,and the model's key procedure is endmember extraction.This paper firstly introduced the linear mixing model,then summarized the endmember extraction algorithms and deeply analyzed several endmember extraction algorithms(SMACC,VCA,SGA,etc).After that,the trends of the spectral unmixing were summarized.
【CateGory Index】: TP751
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