Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications
because it benefits from the detailed spectral information contained in each pixel. Notably …

Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral
imaging (HSI) has been widely used in a wide range of real-world application areas due to …

With the development of the new generation of information technology, artificial intelligence,
cloud computing and big data are gradually becoming powerful engines of the smart grid. In …

As an onsite condition monitoring method, an infrared inspection can help to discover and
analyze abnormal temperature increases in power equipment. For improving the efficiency …

The efficient condition monitoring and accurate module defect detection in large-scale
photovoltaic (PV) farms demand for novel inspection method and analysis tools. This paper …

Image fusion has been developing into an important area of research. In remote sensing, the
use of the same image sensor in different working modes, or different image sensors, can …

The importance of low-frequency seismic data has been already recognized by
geophysicists. However, there are still a number of obstacles that must be overcome for …

Water-quality monitoring of inland lakes is essential for freshwater-resource protection. In
situ water-quality measurements and ratings are accurate but high costs limit their usage …

In recent years, the panchromatic (PAN) and the multispectral (MS) remote sensing images
classification has become a research hotspot. In this paper, we propose a spatial-channel …

Pixel-based convolutional neural network (CNN) has demonstrated good performance in the
classification of very high resolution images (VHRI) from which abstract deep features are …