Target detection is a fundamental task of hyperspectral imaging where constrained energy
minimization (CEM) has been widely used for subpixel target detection techniques. Due to …

In the past few years, there has been significant progress in hyperspectral image
classification (HSIC). However, when the trained classifier on the source scene is directly …

(1) Background: Rolling bearings are important components in mechanical equipment, but
they are also components with a high failure rate. Once a malfunction occurs, it will cause …

Aims. The accuracy of the pulsar period estimation directly affects the restoration effect of the
signal profile. A more accurate pulsar profile will help improve the accuracy of pulsar delay …

Gaussian pyramid (GP) is a commonly used image coding technique that encodes an image
as a pyramid that is stacked by a set of images with Gaussian window-reduced sizes and …

Hyperspectral image classification (HSI) is a vital aspect of remote sensing technology.
However, the high-dimensional nature of HSI and the continuous spectral bands …

Hyperspectral images are rich in spectral and spatial information, providing a detailed and
comprehensive description of objects, which makes hyperspectral image analysis …

Acidic environments are a significant factor in the aging and failure of silicone rubber
insulators. Addressing the effective assessment of insulators' aging state to prevent power …

Carbon monoxide is a colorless, odorless gas that can cause irreversible effects on the brain
if inhaled in excess. Accurate measurement of carbon monoxide is very important for human …

Contrastive learning achieves good performance on hyperspectral image classification
(HSIC), but its application on cross-scene classification is still challenging due to domain …