A New Autoencoder Training Paradigm for Unsupervised Hyperspectral Anomaly Detection.
Nicholas MerrillColin C. OlsonPublished in: IGARSS (2020)
Keyphrases
- anomaly detection
- hyperspectral
- unsupervised anomaly detection
- unsupervised learning
- hyperspectral images
- remote sensing
- multispectral
- intrusion detection
- hyperspectral imagery
- restricted boltzmann machine
- anomalous behavior
- infrared
- detecting anomalies
- target detection
- supervised learning
- image data
- network traffic
- hyperspectral remote sensing
- hyperspectral data
- network intrusion detection
- semi supervised
- network anomaly detection
- information content
- satellite images
- spectral bands
- intrusion detection system
- training set
- one class support vector machines
- detect anomalies
- high resolution
- image analysis
- data sets
- active learning
- change detection
- neural network