Advances in computing technology have fostered the development of new and powerful
deep learning (DL) techniques, which have demonstrated promising results in a wide range …

Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Hyperspectral image (HSI) classification is an important task in earth observation missions.
Convolution neural networks (CNNs) with the powerful ability of feature extraction have …

On account of environmental concerns, the fate and adverse effects of plastics have
attracted considerable interest in the past few years. Recent studies have indicated the …

As emerging contaminants, microplastics and nanoplastics pose analytical challenges to the
scientific community due to the small size, diverse composition and complex environmental …

Hyperspectral Image (HSI) reconstruction has made gratifying progress with the deep
unfolding framework by formulating the problem into a data module and a prior module …

In recent years, deep learning has been successfully applied to hyperspectral image
classification (HSI) problems, with several convolutional neural network (CNN) based …

Recent advances in communication technologies with the emergence of connected objects
have changed the agricultural area. In this new digital age, the development of artificial …

Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

Deep learning methods have been widely used in hyperspectral image classification and
have achieved state-of-the-art performance. Nonetheless, the existing deep learning …