Hyperspectral Anomaly Detection Based on Low Rank and Sparse Tensor Decomposition.

Fuhe Qin Zebin Wu Yang Xu Hongyi Liu Yan Zhang Zhihui Wei

Published in: IGARSS (2019)

Keyphrases

anomaly detection
hyperspectral
tensor decomposition
low rank
remote sensing
high order
image data
low rank matrix
linear combination
missing data
convex optimization
singular value decomposition
matrix factorization
computer vision
unsupervised learning
higher order
data sets
semi supervised
high dimensional