1

LTTR

Implemention of paper "“Learning a Low Tensor-train Rank for Hyperspectral Image Super-resolution" (TNNLS 2019)

MATLAB

37

2

DHSIS

Implemention of paper "deep hyperspectral image sharpening (TNNLS 2018)"

MATLAB

35

3

CSTF

Implemention of paper “Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization (TIP 2018)"

MATLAB

27

4

NLSTF

The code is the implention of paper "Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion"

MATLAB

26

5

LTMR

code for TIP 2019 paper: Hyperspectral Image Super-Resolution via Subspace-Based Low Tensor Multi-Rank Regularization

MATLAB

18

6

CNN-FUS

The code of paper: Renwei Dian, Shutao Li, and Xudong Kang, “Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser,” IEEE Transactions on Neural Networks and Learning Systems. 2020.

MATLAB

16

7

LRSR

Implemention of paper “Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations"(IGARSS 2018)

C++

15

8

ZSL

The code of paper "Zero-Shot Hyperspectral Sharpening"， IEEE TPAMI 2023

Python

13

9

ExInL

code for "Learning the external and internal priors for multispectral and hyperspectral image fusion", Science China Information Sciences, 2023

MATLAB

6

10

GTNN

MATLAB

5

11

LTRN

The code for Spectral Super-Resolution via Deep Low-Rank Tensor Representation

Python

4

12

SSRnet-pytorch

code for paper 《Spectral Super-Resolution via Model-Guided Cross-Fusion Network, IEEE TNNLS, 2023》——pytorch

Python

1