Anomaly Detection and Classification in Multispectral Time Series Based on Hidden Markov Models.
Kareth Marcela León LópezFlorian MouretHenry ArguelloJean-Yves TourneretPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- hidden markov models
- anomaly detection
- multispectral
- sequence classification
- sequential data
- detect anomalies
- intrusion detection
- multispectral images
- anomalous behavior
- discriminative training
- remote sensing
- unsupervised learning
- remote sensing images
- abnormal activity
- detecting anomalies
- image data
- hyperspectral images
- intrusion detection system
- network intrusion detection
- pattern recognition
- hyperspectral
- image analysis
- conditional random fields
- text classification
- feature selection
- feature extraction
- support vector
- gesture recognition
- decision trees
- machine learning
- data analysis
- support vector machine
- model selection
- one class support vector machines
- hidden semi markov models
- neural network
- baum welch