Hyperspectral Anomaly Detection With Kernel Isolation Forest.
Shutao LiKunzhong ZhangPuhong DuanXudong KangPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- anomaly detection
- hyperspectral
- remote sensing
- hyperspectral images
- infrared
- multispectral
- image data
- intrusion detection
- detecting anomalies
- hyperspectral data
- target detection
- hyperspectral imagery
- network traffic
- anomalous behavior
- network intrusion detection
- hyperspectral remote sensing
- intrusion detection system
- detect anomalies
- support vector
- satellite images
- kernel methods
- information content
- kernel function
- network anomaly detection
- negative selection algorithm
- one class support vector machines
- machine learning
- image analysis
- pattern recognition
- change detection
- unsupervised learning
- supervised learning
- semi supervised
- hidden markov models
- high quality
- image processing
- computer vision
- kernel based nonlinear
- neural network