The task of multimodal image fusion aims to preserve the respective advantages of each
modality, such as the detailed texture information from visible light images and the salient …

On the one hand, the solution of computer vision tasks is associated with the development of
various kinds of images or random fields mathematical models, ie, algorithms, that are called …

Current challenges in visible and infrared image fusion include color information distortion,
texture detail loss, and target edge blur. To address these issues, a fusion algorithm based …

Traditional infrared (IR) and visible (VIS) image fusion methods demand identical resolution
levels for source images, which can be problematic due to the inherent low-resolution nature …

For Internet of Things wireless sensor networks (IOT WSNs), we suggest an energy-efficient
cluster-based routing protocol. The primary issues that restrict the lifespan of a sensor …

Forest fires stand as an acute hazard, threatening both natural ecosystems and human
settlements, demanding the creation of efficient predictive frameworks for timely intervention …

This study presents a novel approach for the segmentation of still water bodies in aerial
images using semantic segmentation methods and a U-NET model. The proposed UNET …

This review paper fills a major void in current smart irrigation initiatives by emphasizing
moisture content instead of taking soil NPK (nitrogen, phosphorus, and potassium) levels …

The adoption of infrared imaging in the military, security and inspection, transportation, night
vision and surveillance, medical imaging, industry and manufacturing, and other fields have …

In recent times, the fusion of infrared (IR) and visible imaging (VI) has emerged as a crucial
and frequently encountered challenge in various applications. Numerous fusion techniques …