Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection.
Hao QinQiangqiang ShenHaijin ZengYongyong ChenGuangming LuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- anomaly detection
- hyperspectral
- low rank
- convex optimization
- low rank matrices
- robust principal component analysis
- remote sensing
- infrared
- multispectral
- matrix factorization
- linear combination
- low rank matrix
- low rank and sparse
- semi supervised
- missing data
- singular value decomposition
- kernel matrix
- high dimensional data
- satellite images
- information content
- image data
- high order
- data sets
- image processing
- pattern recognition
- unsupervised learning
- total variation
- image sequences
- computer vision
- machine learning
- image analysis
- neural network