Research progress of generative adversarial networks in remote sensing image fusion

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Research progress of generative adversarial networks in remote sensing image fusion
“In the field of remote sensing image fusion, generative adversarial network technology has shown great potential, providing new solutions for improving image accuracy.”
- role：First author第一作者
- Affiliation：
  School of Software, Yunnan University, Kunming 650000, China
  Engineering Research Center of Cyberspace, Yunnan University, Kunming 650000, China
- Email：zhenghuangqimei@stu.ynu.edu.cn
- Introduction：郑黄齐眉，研究方向为遥感图像融合。E-mail： zhenghuangqimei@stu.ynu.edu.cn
ZHENG Huangqimei
* ,
- Affiliation：
  School of Software, Yunnan University, Kunming 650000, China
  Engineering Research Center of Cyberspace, Yunnan University, Kunming 650000, China
PAN Chengyi
* ,
- role：Corresponding author通信作者
- Affiliation：
  School of Software, Yunnan University, Kunming 650000, China
  Engineering Research Center of Cyberspace, Yunnan University, Kunming 650000, China
- Email：xinjin@ynu.edu.cn
- Introduction：金鑫，研究方向为人工智能、图像处理。E-mail： xinjin@ynu.edu.cn
JIN Xin
* ,
- Affiliation：
  School of Software, Yunnan University, Kunming 650000, China
  Engineering Research Center of Cyberspace, Yunnan University, Kunming 650000, China
WANG Qianqian
* ,
- Affiliation：
  School of Software, Yunnan University, Kunming 650000, China
  Engineering Research Center of Cyberspace, Yunnan University, Kunming 650000, China
MIAO Shengfa
* ,
- Affiliation：
  School of Software, Yunnan University, Kunming 650000, China
  Engineering Research Center of Cyberspace, Yunnan University, Kunming 650000, China
JIANG Qian
*
Vol. 29, Issue 10, Pages: 2859-2872(2025)
DOI：10.11834/jrs.20254439
Accepted：

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