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Kernel Low-Rank Entropic Component Analysis for Hyperspectral Image Classification.
Chengzu Bai
Ren Zhang
Zeshui Xu
Baogang Jin
Jian Chen
Shuo Zhang
Long-xia Qian
Published in:
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
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component analysis
low rank
hyperspectral image classification
matrix factorization
factor analysis
kernel matrix
active learning
linear combination
hyperspectral
missing data
convex optimization
hyperspectral images
semi supervised
singular value decomposition
low rank matrix
high dimensional data
blind source separation
high order
collaborative filtering
machine learning
image data
remote sensing
negative matrix factorization
recommender systems
kernel pca
feature space
image segmentation