Super-resolution reconstruction of remote sensing images based on deep learning
Chong Wang, Xin Ni Mu, Shuhai Yu, Yunhe Liu, JiangHao Liu, Haotian Shi · 2025
Remote sensing image data is a method of collecting ground target data through remote sensors and forming images using the interaction between electromagnetic radiation and the ground surface. However, due to various practical factors, the resolution of remote sensing image data is often low, and software processing methods are more cost-effective. With the rapid development of deep learning theory and applications, image super-resolution technology has become a key technology in the field of image processing. This article constructs a dataset using remote sensing images of natural scenes, and improves the original SRGAN algorithm to make it applicable to remote sensing images and enhance visual effects and evaluation metrics.