An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data

@article{Liu2011AnAB,
  title={An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data},
  author={Xuesong Liu and Wei Xia and Bin Wang and Liming Zhang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2011},
  volume={49},
  pages={757-772}
}
Nonnegative matrix factorization (NMF) has been recently applied to solve the hyperspectral unmixing problem because it ensures nonnegativity and needs no assumption for the presence of pure pixels. However, the algorithm has a large amount of local minima due to the obvious nonconvexity of the objective function. In order to improve its performance, auxiliary constraints can be introduced into the algorithm. In this paper, we propose a new approach named abundance separation and smoothness… CONTINUE READING
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