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- W2370249581 abstract "Mixed-pixel is a hot spot in the domain of remote sensing. Spectral unmixing techniques based on the linear mixing model are widely used for hyperspectral data analysis. The identification of the purest spectral signatures of ground constituents (endmember) in a scene is a previous step in all unmixing approaches. Several different algorithms for extracting endmembers are derived from the linear mixing model,the main ideas of these methods,as well as the advantages and disadvantages are presented and discussed respectively in this paper. Then,the applications and the trends of endmember extraction algorithms in recent years are also analyzed." @default.
- W2370249581 created "2016-06-24" @default.
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- W2370249581 date "2008-01-01" @default.
- W2370249581 modified "2023-09-27" @default.
- W2370249581 title "A review on endmember extraction algorithms based on the linear mixing model" @default.
- W2370249581 hasPublicationYear "2008" @default.
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