Sentinel-2 satellites can provide free optical remote-sensing images with a spatial resolution
of up to 10 M, but the spatial details provided are not enough for many applications, so it is …

Sentinel-2 can provide multi-spectral optical remote sensing images in RGBN bands with a
spatial resolution of 10m, but the spatial details provided are not enough for many …

Because of the complicated imaging conditions in space and the finite imaging systems on
satellites, the resolution of remote sensing images is limited. The process of increasing an …

Sentinel-2 satellites provide multi-spectral optical remote sensing images with four bands at
10 m of spatial resolution. These images, due to the open data distribution policy, are …

The resolution of remote-sensing images is directly related to the application value of data
products. Due to differences in imaging characteristics between digital cameras and remote …

As super-resolution techniques continue to evolve, there is a growing requirement for more
advanced methods to capture finer details, particularly when dealing with the smaller pixels …

Single image super-resolution (SISR) has been widely studied in recent years as a crucial
technique for remote sensing applications. In this paper, a dense residual generative …

Image super-resolution (SR) technique can improve the spatial resolution of images without
upgrading the imaging system. As a result, SR promotes the development of high resolution …

In the absence of high-resolution (HR) sensors, super-resolution (SR) algorithms for remote
sensing imagery improve the spatial resolution of the images. Currently, most of the SR …

Limited resolution is one of the most important factors hindering the application of remote
sensing images (RSIs). Single-image super resolution (SISR) is a technique to improve the …