Infrared and visible image fusion technologies make full use of different image features
obtained by different sensors, retain complementary information of the source images during …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Infrared and visible image fusion combines the infrared thermal radiation information and
visible detail information. The image fusion technique has facilitated development in …

Recent developments in pattern analysis have motivated many researchers to focus on
developing deep learning based solutions in various image processing applications. Fusing …

Owing to its powerful adaptability and robustness to the weak light, the infrared camera
equipped on the unmanned aerial vehicle is more and more applied for aerial photography …

Operational forest monitoring often requires fine-detail information in the form of an
orthomosaic, created by stitching overlapping nadir images captured by aerial platforms …

Fusing infrared and visible images taken by an unmanned aerial vehicle (UAV) is a
challenging task, since infrared images distinguish the target from the background by the …

Existing infrared and visible image fusion algorithms have problems with reduced saliency
for infrared targets and a lack of background texture information. To address this problem, a …

Aerial visible-to-infrared image translation aims to transfer aerial visible images to their
corresponding infrared images, which can effectively generate the infrared images of …

Image fusion operation is beneficial to many applications and is also one of the most
common and critical computer vision challenges. The perfect infrared and visible image …