Classification and anomaly detection algorithms for weak hyperspectral signal processing.
Pierre LahaiePublished in: WHISPERS (2016)
Keyphrases
- anomaly detection
- hyperspectral
- signal processing
- hyperspectral images
- one class support vector machines
- intrusion detection
- unsupervised learning
- hyperspectral data
- network intrusion detection
- remote sensing
- hyperspectral image classification
- machine learning
- learning algorithm
- feature space
- pattern recognition
- decision trees
- pixel classification
- support vector
- intrusion detection system
- detect anomalies
- detecting anomalies
- data mining
- co occurrence
- hyperspectral remote sensing
- negative selection algorithm
- anomalous behavior
- hyperspectral imagery
- image processing
- reinforcement learning
- information content
- network traffic
- multispectral
- infrared
- active learning
- support vector machine