A Proposed Fully Constrained Least Squares for Solving Sparse Endmember Fractions with Linear Spectral Mixture Model.
Cuicui JiXiaosong LiJinying WangMaolin ChenJianping PanPublished in: IGARSS (2021)
Keyphrases
- mixture model
- constrained least squares
- regularized least squares
- hyperspectral images
- gaussian mixture model
- generative model
- basis vectors
- em algorithm
- sparse representation
- density estimation
- probabilistic model
- model selection
- unsupervised learning
- maximum likelihood
- sparse coding
- expectation maximization
- language model
- high dimensional
- regularization parameter
- reproducing kernel hilbert space
- probability density function
- image processing
- data sets
- semi supervised
- closed form
- pairwise
- pattern recognition
- nonnegative matrix factorization
- support vector
- machine learning