A bottom-up and top-down human visual attention approach for hyperspectral anomaly detection.
Ashkan TaghipourHassan GhassemianPublished in: J. Vis. Commun. Image Represent. (2021)
Keyphrases
- anomaly detection
- visual attention
- hyperspectral
- visual saliency
- hyperspectral images
- saliency map
- eye tracking
- intrusion detection
- remote sensing
- multispectral
- infrared
- eye movements
- detecting anomalies
- vision system
- hyperspectral data
- visual search
- higher level
- image data
- intrusion detection system
- salient regions
- human subjects
- information content
- detect anomalies
- one class support vector machines
- satellite images
- natural images
- pairwise
- high quality
- unsupervised learning
- image quality
- high resolution
- feature selection
- learning algorithm
- neural network
- real time