Tensor Decomposition-Inspired Convolutional Autoencoders for Hyperspectral Anomaly Detection.
Bangyong SunZhe ZhaoDi LiuXiaomei GaoTao YuPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2022)
Keyphrases
- anomaly detection
- hyperspectral
- tensor decomposition
- tensor analysis
- auxiliary information
- infrared
- remote sensing
- multispectral
- data representation
- intrusion detection
- denoising
- image data
- high order
- tensor factorization
- information content
- satellite images
- unsupervised learning
- data mining
- data sets
- low rank
- text mining
- data analysis
- video sequences