Sstf-unet: Spatial–spectral transformer-based u-net for high-resolution hyperspectral image acquisition
To obtain a high-resolution hyperspectral image (HR-HSI), fusing a low-resolution
hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) is a …
hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) is a …
TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization
This paper proposes an algorithm based on defined scaled tri-factorization (STF) for fast and
accurate tensor ring (TR) decomposition. First, based on the fast tri-factorization approach …
accurate tensor ring (TR) decomposition. First, based on the fast tri-factorization approach …
A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion
Hyperspectral image (HSI) and multispectral image (MSI) fusion, denoted as HSI-MSI fusion,
involves merging a pair of HSI and MSI to generate a high spatial resolution HSI (HR-HSI) …
involves merging a pair of HSI and MSI to generate a high spatial resolution HSI (HR-HSI) …
A fast correction approach to tensor robust principal component analysis
Tensor robust principal component analysis (TRPCA) is a useful approach for obtaining low-
rank data corrupted by noise or outliers. However, existing TRPCA methods face certain …
rank data corrupted by noise or outliers. However, existing TRPCA methods face certain …