Anomaly detection and important bands selection for hyperspectral images via sparse PCA.
Santiago Velasco-ForeroMarcus ChenAlvina GohSze Kim PangPublished in: WHISPERS (2014)
Keyphrases
- hyperspectral images
- anomaly detection
- sparse pca
- hyperspectral
- hyperspectral data
- hyperspectral imagery
- intrusion detection
- spectral bands
- remote sensing
- anomalous behavior
- multispectral
- detecting anomalies
- network intrusion detection
- intrusion detection system
- multispectral images
- semidefinite programming
- feature selection
- one class support vector machines
- target detection
- unsupervised learning
- detect anomalies
- image data
- principal component analysis
- reinforcement learning