Autoencoder in Autoencoder Network Based on Low-Rank Embedding for Anomaly Detection in Hyperspectral Images.
Weinan CaoHongyan ZhangWei HeHongyu ChenEwe Hong TatPublished in: IGARSS (2022)
Keyphrases
- anomaly detection
- low rank
- hyperspectral images
- hyperspectral
- missing data
- intrusion detection
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- high dimensional data
- semi supervised
- remote sensing
- kernel matrix
- multispectral
- high order
- detect anomalies
- unsupervised learning
- infrared
- target detection
- dimensionality reduction
- higher order
- image data
- pairwise
- image sequences
- image processing
- feature selection
- machine learning
- data mining
- neural network