Hyperspectral Anomaly Detection Based on Isolation Forest with Band Clustering.
Yuancheng HuangYuanyuan XueYuanchao SuShanshan HanPublished in: IGARSS (2020)
Keyphrases
- detect anomalies
- anomaly detection
- hyperspectral
- spectral bands
- hyperspectral images
- remote sensing
- multispectral
- intrusion detection
- hyperspectral remote sensing
- infrared
- detecting anomalies
- hyperspectral imagery
- image data
- hyperspectral data
- network traffic
- spectral resolution
- target detection
- network intrusion detection
- anomalous behavior
- spatial resolution
- intrusion detection system
- unsupervised learning
- spectral data
- multispectral images
- information content
- clustering algorithm
- neural network
- network anomaly detection
- multi band
- self organizing maps
- clustering method
- pattern recognition
- satellite images
- document clustering
- k means
- training set
- feature space
- computer vision
- negative selection algorithm
- data mining