Remote sensing image scene classification is a vital area of research that involves assigning semantic labels to aerial and satellite imagery based on observed content. Driven by rapid advances in ...

Remote sensing image fusion has emerged as a pivotal technique to enhance both the spatial and spectral quality of satellite and aerial imagery, thereby improving the utility of such data in ...

A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning ...

Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google ...