Hyperspectral Anomaly Detection Based on Background Purification via Deep Autoencoding Gaussian Mixture Model.
Zhiyue WangJunping ZhangYe ZhangXinyu ZhouPublished in: IGARSS (2023)
Keyphrases
- anomaly detection
- gaussian mixture model
- hyperspectral
- hyperspectral images
- remote sensing
- infrared
- intrusion detection
- mixture model
- multispectral
- image data
- detecting anomalies
- hyperspectral data
- background subtraction
- feature vectors
- feature space
- foreground objects
- em algorithm
- expectation maximization
- unsupervised learning
- maximum likelihood
- information content
- satellite images
- one class support vector machines
- intrusion detection system
- detect anomalies
- model selection
- pattern recognition
- image processing
- knn
- complex background
- computer vision