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Estimating the Number of Endmembers in Hyperspectral Images Using the Normal Compositional Model and a Hierarchical Bayesian Algorithm.
Olivier Eches
Nicolas Dobigeon
Jean-Yves Tourneret
Published in:
IEEE J. Sel. Top. Signal Process. (2010)
Keyphrases
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probabilistic model
hierarchical bayesian
hyperspectral images
similarity measure
detection algorithm
expectation maximization
em algorithm
parameter estimation
closed form
kalman filter
prior information
multiscale
gibbs sampling
k means
image data
energy function
variational inference
feature selection