Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection.
Yuyun LianYongshan ZhangXuxiang FengXinwei JiangZhihua CaiPublished in: ICASSP (2023)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- remote sensing
- multispectral
- matrix factorization
- convex optimization
- linear combination
- infrared
- missing data
- singular value decomposition
- high order
- kernel matrix
- high dimensional data
- semi supervised
- image data
- unsupervised learning
- satellite images
- information content
- pairwise
- dimensionality reduction
- dimension reduction
- least squares
- object recognition