Anomaly detection in hyperspectral images through spectral unmixing and low rank decomposition.
Ying QuRui GuoWei WangHairong QiBulent AyhanChiman KwanSteven VancePublished in: IGARSS (2016)
Keyphrases
- anomaly detection
- hyperspectral images
- low rank
- hyperspectral
- hyperspectral data
- hyperspectral imagery
- tensor decomposition
- missing data
- linear combination
- matrix factorization
- convex optimization
- remote sensing
- semi supervised
- high dimensional data
- singular value decomposition
- multispectral
- kernel matrix
- multispectral images
- high order
- infrared
- unsupervised learning
- target detection
- neural network
- collaborative filtering
- data analysis
- pattern recognition
- nonnegative matrix factorization
- similarity measure
- machine learning
- data mining