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    • Unmixing of hyperspectral data by incorporating spectral variability and spatial information 

      Uezato, Tatsumi (University of Sydney Faculty of Agriculture and Environment School of Aerospace, Mechanical & Mechatronic Engineering, 2016-08-15)
      Spectral unmixing enables quantitative information on the abundances of cover types to be estimated within each image pixel. Although many spectral unmixing methods have been developed, many of these cannot consider endmember ...