Research on Infrared and Visible Image Fusion Based on Improved Generative Adversarial Network
收藏IEEE2026-04-17 收录
下载链接:
https://ieee-dataport.org/documents/research-infrared-and-visible-image-fusion-based-improved-generative-adversarial-network
下载链接
链接失效反馈官方服务:
资源简介:
The file contains merely a small portion of our research results. The particular picture presented showcases the outcomes that were achieved through our fusion method when applied to the TNO test set. The ir, which is the abbreviation for infrared light image, is characterized by being rich in thermal radiation information. However, it unfortunately has a rather low spatial resolution. On the other hand, the vis, representing the visible light image, is abundant in scene information. But it has a drawback in that the human targets within it are not so distinctly visible. The our indicates the fused image generated by our method. This fused image possesses rich texture details and, most importantly, the targets are clearly and distinctly visible, making it highly valuable for further analysis and various applications.
提供机构:
Xie, Haiyan; Qu, Huimin; Wang, Qianying



