Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field
IEEE geoscience and remote sensing letters（2021）
Key words
Bayes methods,Mixture models,Estimation,Hyperspectral imaging,Markov processes,Optimization,Band-weighted discrete spectral mixture model (BDSMM),Bayesian framework,hyperspectral image,Markov random field (MRF),unsupervised subpixel mapping (SPM)
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