Title
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization.
Abstract
Fusing a low spatial resolution hyperspectral image (LR-HSI) with a high spatial resolution multispectral image (HR-MSI) to obtain a high spatial resolution hyperspectral image (HR-HSI) has attracted increasing interest in recent years. In this paper, we propose a coupled sparse tensor factorization (CSTF)-based approach for fusing such images. In the proposed CSTF method, we consider an HR-HSI as...
Year
DOI
Venue
2018
10.1109/TIP.2018.2836307
IEEE Transactions on Image Processing
Keywords
Field
DocType
Tensile stress,Dictionaries,Spatial resolution,Sparse matrices,Hyperspectral imaging,Estimation
Computer vision,Pattern recognition,Tensor,Multispectral image,Hyperspectral imaging,Artificial intelligence,Tensor factorization,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
27
8
1057-7149
Citations 
PageRank 
References 
24
0.64
20
Authors
4
Name
Order
Citations
PageRank
Shutao Li119116.15
Renwei Dian2844.65
Leyuan Fang311611.15
Jose Bioucas474532.10