The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds
tremendous potential across a wide array of fields. By leveraging AI, the processing and …

Detailed automated analysis of crop images is critical to the development of smart
agriculture and can significantly improve the quantity and quality of agricultural products. A …

In the presented work, an approach to the classification of high-resolution hyperspectral
images in the problem of identifying coffee varieties is proposed. A spectralspatial …

Tree age is one of the key characteristics of a forest, along with tree species and height. It
affects management decisions of forest owners and allows researchers to analyze …

We investigate the efficiency of convolutional neural networks (CNNs) application for
recognition of two-mode optical vortex (OV) beams superpositions. Unlike standard …

A device for visualization of blood vessels in the human skin is presented. A diffractive
optical element is used to locate blood vessels in the skin image. It has been shown that …

Near-infrared (NIR) hyperspectral imaging enables rapid, non-contact imaging of hazardous
materials in a non-destructive manner, allowing for analysis based on spectral reflection …

Hyperspectral analysis is a powerful tool in the precision agriculture arsenal that becomes
increasingly accessible. The number of hyperspectral images obtained near the Earth …

In this paper, the effect of different noises on Laguerre-Gaussian (LG) modes recognition by
convolution neural network (CNN). A dataset of halftone images with LG modes and noises …

Unmanned aerial vehicles (UAVs) are widely used as data sources for monitoring of farm
lands. As distinct from satellite imagery, in which satellites often have a sun-synchronous …