Hyperspectral Anomaly Detection Based on Adaptive Low-Rank Transformed Tensor.
Siyu SunJun LiuZiwei ZhangWei LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- trace norm
- high order
- tensor decomposition
- remote sensing
- matrix factorization
- missing data
- multispectral
- infrared
- convex optimization
- linear combination
- matrix completion
- image data
- kernel matrix
- high dimensional data
- singular value decomposition
- higher order
- information content
- semi supervised
- satellite images
- dimensionality reduction
- high quality
- machine learning
- change detection
- co occurrence
- training data