Nonlinear Anomaly Detection Based on Spectral-Spatial Composite Kernel for Hyperspectral Images.
Yenan GaoTongkai ChengBin WangPublished in: IEEE Geosci. Remote. Sens. Lett. (2021)
Keyphrases
- anomaly detection
- hyperspectral images
- hyperspectral imagery
- kernel based nonlinear
- spectral signatures
- hyperspectral
- hyperspectral data
- intrusion detection
- spectral bands
- remote sensing
- multispectral
- kernel pca
- detecting anomalies
- network intrusion detection
- spectral data
- network traffic
- anomalous behavior
- multispectral images
- network anomaly detection
- detect anomalies
- kernel methods
- unsupervised learning
- one class support vector machines
- high dimensional feature space
- negative selection algorithm
- spatial information
- target detection
- intrusion detection system
- infrared
- image processing
- active learning
- pattern recognition
- remote sensing images
- computer vision
- information content
- kernel function
- training data
- image data
- model selection