Infrared and visible image fusion based on multi‐channel convolutional neural network
For the lack of labels in infrared and visible image fusion network, an infrared and visible image fusion model based on multi‐channel unsupervised convolutional neural network (CNN) is proposed in this paper, in order to extract more detailed ...
Hongmei Wang +4 more
doaj +1 more source
DSA-Net: Infrared and Visible Image Fusion via Dual-Stream Asymmetric Network
Infrared and visible image fusion technologies are used to characterize the same scene using diverse modalities. However, most existing deep learning-based fusion methods are designed as symmetric networks, which ignore the differences between modal ...
Ruyi Yin +3 more
doaj +1 more source
A Dual-Branch Network for Infrared and Visible Image Fusion [PDF]
Deep learning is a rapidly developing approach in the field of infrared and visible image fusion. In this context, the use of dense blocks in deep networks significantly improves the utilization of shallow information, and the combination of the Generative Adversarial Network (GAN) also improves the fusion performance of two source images. We propose a
Yu Fu 0015, Xiao-Jun Wu 0001
openaire +4 more sources
Improved TLBO for Fusion of Infrared and Visible Images
Image fusion is an image enhancement method in modern artificial intelligence theory, which can reduce the pressure in data storage and obtain better image information. Due to different imaging principles, information of the infrared image and visible images’ information is complementary and redundant.
Jinghua Wang +3 more
openaire +1 more source
Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery [PDF]
Thermal imaging has been used in the past for remote detection of regions of canopy showing symptoms of stress, including water deficit stress. Stress indices derived from thermal images have been used as an indicator of canopy water status, but these ...
Thompson, Andrew J. +21 more
core +2 more sources
The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale [PDF]
The creation of fine resolution soil maps is hampered by the increasing costs associated with conventional laboratory analyses of soil. In this study, near infrared (NIR) reflectance spectroscopy was used to reduce the number of conventional soil ...
Söderström, Mats +2 more
core +2 more sources
Infrared and visible images registration with adaptable local-global feature integration for rail inspection [PDF]
Active thermography provides infrared images that contain sub-surface defect information, while visible images only reveal surface information. Mapping in- frared information to visible images o ers more comprehensive visualization for decision-making
Chaoqing Tang +9 more
core +1 more source
Research Progress of Infrared and Visible Image Fusion Algorithms [PDF]
Infrared images are easy to identify thermal targets,and visible images have rich texture information.The fusion of infrared and visible images takes the advantages of both optical bands which can clearly show the targets and background.It has been ...
WEI Qi, ZHAO Juan
doaj +1 more source
Visible and infrared image fusion algorithm for underground personnel detection
The working environment and lighting conditions of mining intelligent vehicles are complex. When detecting underground personnel, infrared reflection information and detailed texture information can be fused into visible light images by fusing visible ...
ZHOU Libing +5 more
doaj +1 more source
Mamba-Based Infrared and Visible Images Fusion Method
Visible-infrared image fusion is crucial for applications like autonomous driving and nighttime surveillance, yet it remains challenging due to the inherent limitations of existing deep learning models.
Jinsong He +5 more
doaj +1 more source

