A Posteriori Hyperspectral Anomaly Detection for Unlabeled Classification.
Yulei WangLi-Chien LeeBai XueLin WangMeiping SongChunyan YuSen LiChein-I ChangPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- anomaly detection
- hyperspectral
- hyperspectral data
- hyperspectral images
- unsupervised learning
- hyperspectral image classification
- pixel classification
- intrusion detection
- detecting anomalies
- remote sensing
- anomalous behavior
- multispectral
- hyperspectral imagery
- infrared
- image data
- supervised learning
- network intrusion detection
- network anomaly detection
- active learning
- one class support vector machines
- decision trees
- network traffic
- target detection
- intrusion detection system
- pattern recognition
- spectral bands
- detect anomalies
- negative selection algorithm
- feature selection
- machine learning
- hyperspectral remote sensing
- information content
- text classification
- co occurrence
- support vector machine
- training set
- high resolution
- support vector
- object recognition
- data analysis
- feature space
- feature vectors
- neural network
- image processing
- image segmentation
- satellite images
- high quality
- training data