Hyperspectral Imaging (HSI) has grown to be one of the most crucial optical imaging
modalities with applications in numerous industries. The non‐invasive nature of HSI has led …

The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …

More recently, vision transformer (ViT) has shown competitive performance with
convolutional neural network (CNN) on computer vision tasks, which provided more …

Recently, few-shot learning (FSL) has exhibited great potential in the hyperspectral image
(HSI) classification due to its promising performance under a few training samples. Although …

Background Pumpkin seeds are major oil crops with high nutritional value and high oil
content. The collection and identification of different pumpkin germplasm resources play a …

Hyperspectral image (HSI) classification is one of the most important remote sensing
techniques. Currently, the performances of most of the HSI classification networks on the …

Hyperspectral image (HSI) analysis generally suffers from issues such as high
dimensionality, imbalanced sample sets for different classes, and the choice of classifiers for …

In the realm of Earth observation and remote sensing data analysis, the advancement of
hyperspectral imaging (HSI) classification technology is of paramount importance …

Abstract Hyperspectral Image Processing (HSIP) is an essential technique in remote
sensing. Currently, extensive research is carried out in hyperspectral image processing …

Hyperspectral imaging represents a powerful tool for the study of artwork's materials since it
permits to obtain simultaneously information about the spectral behavior of the materials and …