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 Inline - Wheels Street 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 wit