A novel hyperspectral image anomaly detection method based on low rank representation.
Yang XuZebin WuZhihui WeiHongyi LiuXiong XuPublished in: IGARSS (2015)
Keyphrases
- detection method
- hyperspectral images
- low rank representation
- hyperspectral
- low rank
- affinity matrix
- detection algorithm
- remote sensing
- face detection
- multispectral
- spectral clustering
- target detection
- matrix factorization
- machine learning
- linear subspace
- singular value decomposition
- data sets
- super resolution
- pattern recognition
- high quality
- missing data
- multispectral images
- image sequences
- feature space
- image processing
- pairwise