Hyperspectral Anomaly Detection Based on Machine Learning: An Overview.
Yichu XuLefei ZhangBo DuLiangpei ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2022)
Keyphrases
- anomaly detection
- hyperspectral
- machine learning
- remote sensing
- hyperspectral images
- network anomaly detection
- multispectral
- infrared
- intrusion detection
- hyperspectral imagery
- hyperspectral data
- target detection
- hyperspectral remote sensing
- detecting anomalies
- network intrusion detection
- unsupervised learning
- intrusion detection system
- satellite images
- spectral bands
- network traffic
- image data
- anomalous behavior
- feature selection
- detect anomalies
- information content
- data mining
- pattern recognition
- data analysis
- computer vision
- learning algorithm
- multispectral images
- information extraction
- negative selection algorithm
- change detection
- text classification
- natural language processing
- knowledge discovery
- active learning
- one class support vector machines
- spectral resolution
- data sets