NF-3DLogTNN: An effective hyperspectral and multispectral image fusion method based on nonlocal...

Sstf-unet: Spatial–spectral transformer-based u-net for high-resolution hyperspectral image acquisition

H Liu, C Feng, R Dian, S Li - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
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 …
被引用次数：4 相关文章 所有 3 个版本

TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization

T Xu, TZ Huang, LJ Deng, HX Dou… - Computational and Applied …, 2023 - Springer
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 …
被引用次数：2 相关文章

A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion

T Xu, TZ Huang, LJ Deng, JL Xiao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
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) …
被引用次数：1 相关文章 所有 2 个版本

A fast correction approach to tensor robust principal component analysis

Z Zhang, S Liu, Z Lin, J Xue, L Liu - Applied Mathematical Modelling, 2024 - Elsevier
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 …
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