Kernel subspace-based real-time anomaly detection for hyperspectral imagery.
Chunhui ZhaoWei YouJia WangYulei WangPublished in: IGARSS (2015)
Keyphrases
- anomaly detection
- kernel based nonlinear
- hyperspectral imagery
- intrusion detection
- detecting anomalies
- multispectral
- anomalous behavior
- network intrusion detection
- remote sensing
- hyperspectral
- target detection
- intrusion detection system
- hyperspectral images
- spatial resolution
- one class support vector machines
- subspace methods
- network traffic
- kernel function
- feature space
- spectral signatures
- unsupervised learning
- dimensionality reduction
- detect anomalies
- negative selection algorithm
- machine learning
- kernel methods
- change detection
- infrared
- multi band
- pattern recognition
- input space
- expectation maximization
- image processing