The booming development of remote sensing images in many visual tasks has led to an
increasing demand for obtaining images with more precise details. However, it is impractical …

Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

It is observed that, in most of the CNN-based pansharpening methods, the multispectral
(MS) images are taken as the ground truth, and the downsampled panchromatic (Pan) and …

Fusing a pair of low-spatial-resolution hyperspec-tral image (LR-HSI) and high-spatial-
resolution multispectral image (HR-MSI) has been regarded as an effective and economical …

The past few years have seen an accelerating integration of deep learning (DL) techniques
into various remote sensing (RS) applications, highlighting their power to adapt and …

The identification of color-coated steel sheet (CCSS) roof buildings in the external
environment is of great significance for the operational security of high-speed rail systems …

Pansharpening aims to generate a high-resolution multispectral (HR-MS) image given a
paired panchromatic (PAN) image and low-resolution multispectral (LR-MS) image. Though …

In the remote sensing image fusion field, fusion methods based on deep learning (DL) are
the latest techniques in panchromatic sharpening (pansharpening). However, existing …

Accurately detecting and localizing high-speed aircraft is significant for monitoring global
flight activities, conducting searches, and performing emergency rescues. Typically, the …

Recently, pansharpening methods based on deep learning (DL) have achieved state-of-the-
art results. However, current existing DL-based pansharpening methods need to be trained …