Low-rank tensor decomposition based anomaly detection for hyperspectral imagery.
Shuangjiang LiWei WangHairong QiBulent AyhanChiman KwanSteven VancePublished in: ICIP (2015)
Keyphrases
- anomaly detection
- tensor decomposition
- low rank
- convex optimization
- missing data
- linear combination
- matrix factorization
- high order
- high dimensional data
- singular value decomposition
- low rank matrix
- semi supervised
- remote sensing
- unsupervised learning
- data representation
- learning algorithm
- higher order
- high resolution
- training data
- computer vision
- collaborative filtering
- recommender systems
- auxiliary information