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    • Spectral unmixing method considering endmember variability of vegetation

    • Vol. 27, Issue 2, Pages: 456-470(2023)   

      Published: 07 February 2023

    • DOI: 10.11834/jrs.20210464     

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  • Wei Q H,Luo W F and Tang K F. 2023. Spectral unmixing method considering endmember variability of vegetation. National Remote Sensing Bulletin, 27(2):456-470 DOI: 10.11834/jrs.20210464.
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School of Earth and Space Sciences, Peking University
Beijing Key Laboratory of Spatial Information Integration and 3S Engineering Application
Maritime College of Dalian Maritime University
Geographic Information System Technology Innovation Center of the Ministry of Natural Resources
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing Normal University
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