Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution-Reference-Cited by-同舟云学术

Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Long Yaqian¹^ORCID,Wang Xun¹,Xu Meng¹^ORCID,Zhang Shuyu¹^ORCID,Jiang Shuguo¹,Jia Sen¹^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, the Guangdong Hong Kong Macau Joint Laboratory for Smart Cities, and the Key Laboratory for Geo-Environmental Monitoring of Coastal Zone, Ministry of Natural Resources, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Key Project of Chinese National Programs for Fundamental Research and Development

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10123084.pdf?arnumber=10123084

Reference52 articles.