Sparsity-Based cholesky factorization and its application to hyperspectral anomaly detection.
Ahmad W. BitarJean Philippe OvarlezLoong-Fah CheongPublished in: CAMSAP (2017)
Keyphrases
- anomaly detection
- hyperspectral
- remote sensing
- tensor factorization
- hyperspectral images
- multispectral
- intrusion detection
- image data
- infrared
- hyperspectral data
- hyperspectral remote sensing
- hyperspectral imagery
- detecting anomalies
- anomalous behavior
- satellite images
- target detection
- network traffic
- information content
- network anomaly detection
- intrusion detection system
- network intrusion detection
- unsupervised learning
- high dimensional
- one class support vector machines
- negative selection algorithm
- matrix factorization
- sparse representation
- image processing
- low rank
- singular value decomposition
- training data