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A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixing.
Charlotte Revel
Yannick Deville
Véronique Achard
Xavier Briottet
Published in:
WHISPERS (2015)
Keyphrases
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nonnegative matrix factorization
hyperspectral
unsupervised learning
clustering method
negative matrix factorization
objective function
pairwise
similarity measure
mutual information
input data
hyperspectral images
relational databases
image data
data representation