Anomaly Detection with Training Data in Hyperspectral Imagery.
Jun LiuYutong FengWeijian LiuDanilo OrlandoHongbin LiPublished in: ICASSP (2020)
Keyphrases
- anomaly detection
- hyperspectral imagery
- training data
- hyperspectral images
- hyperspectral
- intrusion detection
- remote sensing
- multispectral
- target detection
- spatial resolution
- detecting anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- intrusion detection system
- network anomaly detection
- decision trees
- one class support vector machines
- training set
- learning algorithm
- supervised learning
- change detection
- data sets
- detect anomalies
- infrared
- machine learning
- labeled data
- unsupervised learning
- multi band
- image data
- negative selection algorithm
- expectation maximization
- support vector machine
- reinforcement learning
- similarity measure
- image processing
- feature selection