Background-Guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection.
Zhaoyue WuMercedes Eugenia PaolettiHongjun SuXuanwen TaoLirong HanJuan Mario HautAntonio PlazaPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- anomaly detection
- hyperspectral
- remote sensing
- infrared
- hyperspectral images
- multispectral
- restricted boltzmann machine
- intrusion detection
- hyperspectral imagery
- detecting anomalies
- hyperspectral data
- image data
- network intrusion detection
- network traffic
- target detection
- hyperspectral remote sensing
- anomalous behavior
- network anomaly detection
- intrusion detection system
- one class support vector machines
- satellite images
- information content
- detect anomalies
- spectral resolution
- image segmentation
- semi supervised
- negative selection algorithm
- high resolution