Multi-Source Image Fusion Based on Low-Rank Decomposition and Convolutional Sparse Coding

Jiaxin Wang; Sheng Chen; Minghong Xie

doi:10.3788/LOP202158.2210009

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 22 >Page 2210009 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 22, 2210009 (2021)

Multi-Source Image Fusion Based on Low-Rank Decomposition and Convolutional Sparse Coding

Jiaxin Wang¹, Sheng Chen², and Minghong Xie^1、*

Author Affiliations

¹Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China

²Gree Electric Appliances, INC. of Zhuhai, Zhuhai, Guangdong 519000, China

show less

DOI: 10.3788/LOP202158.2210009 Cite this Article Set citation alerts

Jiaxin Wang, Sheng Chen, Minghong Xie. Multi-Source Image Fusion Based on Low-Rank Decomposition and Convolutional Sparse Coding[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210009 Copy Citation Text

show less

Cited By

Article index updated: May. 18, 2024

Citation counts are provided from Researching.

The article is cited by 2 article(s) from Researching.

Jiaxin Wang, Sheng Chen, Minghong Xie. Multi-Source Image Fusion Based on Low-Rank Decomposition and Convolutional Sparse Coding[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210009

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information