Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images.
Santiago Velasco-ForeroMarcus ChenAlvina GohSze Kim PangPublished in: IEEE J. Sel. Top. Signal Process. (2015)
Keyphrases
- anomaly detection
- comparative analysis
- covariance matrix
- hyperspectral images
- intrusion detection
- covariance matrices
- hyperspectral
- detecting anomalies
- principal component analysis
- network intrusion detection
- sample size
- anomalous behavior
- intrusion detection system
- one class support vector machines
- remote sensing
- multispectral
- detect anomalies
- maximum likelihood estimation
- maximum likelihood
- singular value decomposition
- principal components
- satellite images
- unsupervised learning
- low dimensional
- support vector machine
- image analysis
- objective function