CIRCULAR ECONOMY FOR SUSTAINABLE DEVELOPMENT: A FOOD SYSTEM PERSPECTIVE



Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization

Bilinear mixture model-based methods have recently shown promising capability in nonlinear spectral unmixing.However, relying on the endmembers extracted in advance, their unmixing accuracies decrease, especially when the data is highly mixed.In this paper, a strategy of geometric projection has been provided and combined with constrained nonnegati

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