Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder.
Koray KayabolEnsar Burak AytekinSertac ArisoyErcan Engin KuruogluPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- anomaly detection
- hyperspectral
- remote sensing
- hyperspectral images
- infrared
- multispectral
- intrusion detection
- hyperspectral imagery
- detecting anomalies
- target detection
- anomalous behavior
- hyperspectral remote sensing
- image data
- network intrusion detection
- hyperspectral data
- intrusion detection system
- network traffic
- data distribution
- spectral bands
- network anomaly detection
- unsupervised learning
- satellite images
- one class support vector machines
- detect anomalies
- spectral resolution
- spectral data
- neural network
- information content
- change detection
- normal behavior
- mutual information
- information extraction
- pairwise
- support vector
- training data
- similarity measure
- negative selection algorithm
- data sets