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Fully Constrained Linear Spectral Unmixing: Analytic Solution Using Fuzzy Sets
IEEE Transactions on Geoscience and Remote Sensing
The linear mixture model is a convenient way to describe image pixels as a linear combination of pure spectratermed endmembers. The fractional contribution from each endmember is calculated through inversion of the linear model. Despite the simplicity of the model, a nonnegativity constraint that is imposed on the fractions leads to an unmixing problem for which it is hard to find a closed analytical solution. Current solutions to this problem involve iterative algorithms, which aredoi:10.1109/tgrs.2010.2072931 fatcat:23mk5o3fp5brxik4zpvhebt53e